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	Hyundai Motor : Completes Acquisition of Boston Dynamics from SoftBank	https://www.marketscreener.com/quote/st…	0	Dec 30, 2025 00:03	active
Hyundai Motor : Completes Acquisition of Boston Dynamics from SoftBank URL: https://www.marketscreener.com/quote/stock/HYUNDAI-MOTOR-COMPANY-6492384/news/Hyundai-Motor-nbsp-Completes-Acquisition-of-Boston-Dynamics-from-SoftBank-35655976/ Description: · Hyundai Motor Group acquires a controlling interest in Boston Dynamics from SoftBank, following regulatory approvals and other conditions ... Content:
	Boston Dynamics: Spot lernt den Rückwärtssalto – aus gutem Grund …	https://www.notebookcheck.com/Boston-Dy…	1	Dec 30, 2025 00:03	active
Boston Dynamics: Spot lernt den Rückwärtssalto – aus gutem Grund - Notebookcheck.com News URL: https://www.notebookcheck.com/Boston-Dynamics-Spot-lernt-den-Rueckwaertssalto-aus-gutem-Grund.1098021.0.html Description: Der Roboterhund Spot hat den mehrfachen Rückwärtssalto gelernt. Dank Reinforcement Learning soll Spot so in Grenzsituationen eher überstehen, so Boston Dynamics. Das schützt die Hardware, die Spot besitzt. Content: Boston Dynamics lässt Spot Saltos schlagen. Der vierbeinige Roboter hat damit etwas gelernt, was den Erfindern damals gar nicht in den Sinn kam und was selbst das Team, das die Software angepasst hat, erst einmal für unmöglich hielt. Was auf den ersten Blick nutzlos klingt – und das Schlagen eines Saltos ist selbst in den Augen von Boston Dynamics nichts, was die Kunden der Firma brauchen – hat einen interessanten Nebeneffekt. Denn mit der notwendigen Kontrolle, einen Salto zu schlagen, hat Spot auch gelernt, sich in kritischen Situationen besser abzufangen. Wenn der Roboter stürzt, ausrutscht oder stolpert, kann sich Spot so vor größeren Schäden schützen. Aber auch die Payload, oft teure Sensoren auf dem Rücken, kann so besser vor Sturzschäden geschützt werden. Reinforced Learning nennt Boston Dynamics dies und zeigt im Video, wie gut das mittlerweile funktioniert. Selbst ein Rückwärtssalto ist möglich. Das schafft Spot sogar mehrmals hintereinander. Spot kann selbst mit installierten Rollen auf den Vorderbeinen balancieren. Bis dahin war es aber ein weiter Weg, wie Arun Kumar, Robotics Engineer von Boston Dynamics, in dem Video erklärt. So hat er die Szenarios zunächst im Rechner (erfolgreich) simuliert. Doch beim Aufspielen auf den echten Roboter ging so gut wie jedes Mal etwas schief, wie Kumar darlegt. Boston Dynamics zeigt in dem Video auch die ersten unbeholfenen Versuche. Zunächst auf Turnmatten, um Schäden zu minimieren. Später riskierte Boston Dynamics aber auch mehr. Als interessanter Nebeneffekt kann Spot auch deutlich natürlicher laufen, ähnlich anderen Vierbeinern. Im produktiven Einsatz läuft Spot noch so, wie man es für einen Roboter erwarten würde. Das sieht nicht sonderlich elegant aus, nutzt dabei aber die Hardware auch schonender. Die neuen Experimente setzen Spot und dessen Motoren nämlich ans technische Limit. Die neuen Fähigkeiten zeigen auch, dass die Entwicklung von Spot noch nicht am Ende ist, auch wenn sich Boston Dynamics derzeit zumindest in seinen Videos eher auf Atlas konzentriert. Boston Dynamics Images (1):
	Boston Dynamics Atlas — компания отказывается от робота-гуманоида / NV	https://techno.nv.ua/popscience/boston-…	0	Dec 30, 2025 00:03	active
Boston Dynamics Atlas — компания отказывается от робота-гуманоида / NV URL: https://techno.nv.ua/popscience/boston-dynamics-atlas-50410766.html Description: После почти 11 лет разработки Boston Dynamics объявила о прекращении работы над гуманоидным ро... Content:
	Spot Boston Dynamics станцевал в наряде с блестками	https://techno.nv.ua/popscience/boston-…	0	Dec 30, 2025 00:03	active
Spot Boston Dynamics станцевал в наряде с блестками URL: https://techno.nv.ua/popscience/boston-dynamics-spot-sparkles-50414509.html Description: Boston Dynamics, известная своими удивительными роботами, опубликовала новое видео, где их ро?... Content:
	Ev işleri Boston Dynamics robotuna emanet! - ShiftDelete.Net	https://shiftdelete.net/ev-isleri-bosto…	1	Dec 30, 2025 00:03	active
Ev işleri Boston Dynamics robotuna emanet! - ShiftDelete.Net URL: https://shiftdelete.net/ev-isleri-boston-dynamics-robotuna-emanet Description: Boston Dynamics robot teknolojileri konusunda inovasyonlarına tam gaz devam ediyor. Atlas robot ev işlerinde yardımcınız olacak. Content: Massachusetts merkezli robotik devi Boston Dynamics, Toyota Araştırma Enstitüsü (TRI) ile yaptığı iş birliğiyle insansı robotu Atlas’ı adeta yeni bir çağa taşıdı. Atlas, artık “Büyük Davranış Modeli” (LBM) adı verilen, insan eylemlerine dair devasa veri setleriyle eğitilmiş karmaşık bir yapay zeka sistemiyle yönetiliyor. Bu yeni beyin, robota sadece ne yapacağını değil, beklenmedik durumlarla nasıl başa çıkacağını da öğretiyor. Yayınlanan videonun en can alıcı kısmı ise Atlas’ın bir sabır testine tabi tutulduğu anlardı. Robot, belirli nesneleri bir kutuya yerleştirme görevini yapıyor. Bir mühendis tıpkı muzip bir iş arkadaşı gibi davranarak sürekli olarak kutunun kapağını kapatıyor ve kutuyu farklı bir yere itiyordu. Daha önceki robotik sistemler bu tür bir müdahale karşısında donup kalabilir veya hataya düşebilirdi. Ancak Atlas, şaşırtıcı bir şekilde durumu analiz etti. Pozisyonunu sakince yeniden ayarladı, kutuyu buldu ve kapağını açtı. Ardından görevine kaldığı yerden devam etti. Bu sahne, robotun artık sadece programlanmış komutları değil, değişen koşullara dinamik olarak adapte olabilme yeteneğini de kazandığını gözler önüne serdi. Boston Dynamics, yaptığı açıklamada, LBM’lerin en büyük devriminin, yeni yeteneklerin tek bir satır kod yazmadan robota eklenebilmesi olduğunu belirtti. Bu, daha önce aylar süren programlama çalışmalarının yerini, yapay zekanın öğrenme kapasitesinin alacağı anlamına geliyor. Boston Dynamics Robotik Araştırmalar Başkan Yardımcısı Scott Kuindersma, “Bu çalışma, yaşam ve çalışma biçimimizi dönüştürecek genel amaçlı robotlar vizyonumuza bir pencere açıyor.” dedi. Kuindersma, bu yaklaşımın Atlas gibi son derece yetenekli robotların, güç ve hassasiyet gerektiren görevler için veri toplamasını kolaylaştıracağını vurguladı. Ayrıca bu durum gelişimi hızlandıracağını ifade etti. Hızla gelişen robot teknolojisi, çamaşır katlamaktan fabrika montajına kadar çok çeşitli alanlarda görev alabilecek daha çevik, akıllı ve uyumlu insansı robotların hayatımıza girmesinin artık çok da uzak bir hayal olmadığını kanıtlıyor. İsmimi bu tarayıcıya kaydet Δ Images (1):
	Lidl verwendet Entladeroboter von Boston Dynamics	https://www.elektronikpraxis.de/lidl-ve…	1	Dec 30, 2025 00:03	active
Lidl verwendet Entladeroboter von Boston Dynamics URL: https://www.elektronikpraxis.de/lidl-verwendet-entladeroboter-von-boston-dynamics-a-18061e1db4463dc3d7a71672050b6fa7/ Description: Der Entladeroboter Stretch von Boston Dynamics arbeitet nun im Regelbetrieb von Lidl. 22 Systeme sollen bis Mitte 2026 in Importlagern in mehreren europäischen Ländern Container automatisch entladen und damit körperlich belastende Tätigkeiten reduzieren. Content: Anbieter zum Thema Der Entladeroboter Stretch von Boston Dynamics arbeitet nun im Regelbetrieb von Lidl. 22 Systeme sollen bis Mitte 2026 in Importlagern in mehreren europäischen Ländern Container automatisch entladen und damit körperlich belastende Tätigkeiten reduzieren. Lidl treibt die Automatisierung seiner Logistik voran und setzt künftig stärker auf Robotik für das Entladen von Seecontainern. Nach einer Pilotphase, die im vergangenen September startete, hat der Handelskonzern jetzt bestätigt, dass der Roboter Stretch von Boston Dynamics in mehreren Importlagern fest eingeplant ist. Insgesamt 22 Systeme sollen bis Mitte 2026 in den Niederlanden, Belgien, Österreich und Spanien arbeiten. Der Rollout markiert den bisher größten bekannten Einsatz des speziell für Container entwickelten Roboters in Europa. Stretch ist ein mobiler Entladeroboter, der Kartons direkt im Container greift und absetzt. Er verwendet einen vakuumbasierten Greifkopf mit mehreren Saugern, kombiniert mit Kameras und Bilderkennung. Das System orientiert sich im Container autonom, identifiziert Kartons und nimmt sie einzeln oder in Gruppen auf. Boston Dynamics nennt als typische Leistungswerte mehrere Hundert Kartons pro Stunde und eine Einsatzdauer von bis zu 16 Stunden pro Akkuladung. Lidl begründet den Rollout mit einer erfolgreichen Pilotphase. Wie das Unternehmen mitteilt, fiel die Entscheidung nach einem Test in einem Importlager, dessen Ergebnisse intern als sehr positiv bewertet wurden. Auf Nachfrage betont Lidl, dass vor allem die körperliche Entlastung der Mitarbeitenden sowie die stabile Arbeitsgeschwindigkeit im Container entscheidende Faktoren gewesen seien. Stretch soll Container mit gemischten Kartongrößen, wechselnder Verpackungsqualität und teilweise unebenen Stapeln handhaben, was in europäischen Importlagern als kritischer Alltag gilt. Unternehmen wie die Otto Group oder DHL nutzen Stretch bereits in anderen Logistikszenarien. Dort entlädt das System je nach Aufbau zwischen rund 400 und etwa 700 Pakete pro Stunde. Solche Werte lassen sich nicht direkt auf Lidl übertragen, geben aber eine Vorstellung davon, wo Stretch bei typischen Einsätzen landet. Technisch bleibt der Blick in den Container das anspruchsvollste Szenario. Im Inneren herrscht wenig Platz, die Beleuchtung schwankt und die Kartonlage wechselt von Container zu Container. Stretch kombiniert Tiefenkameras, 2D-Bildverarbeitung und ein internes Kartonmodell. Sein Roboterarm fährt auf einer mobilen Basis, die sich entlang der Containerkante bewegt. Der Vakuumgreifer arbeitet mit adaptivem Druck, um beschädigte Kartons nicht weiter zu belasten. Das System kommuniziert über eine lokale Edge-Steuerung und übergibt Statusdaten an die Lager-IT. Boston Dynamics hat den Roboter in den vergangenen Jahren technisch weiterentwickelt. Neuere Varianten unterstützen Multipick-Funktionen, bei denen mehrere Kartons gleichzeitig bewegt werden. Das beschleunigt das Entladen bei leichten Verpackungen. Zudem verbessert Boston Dynamics fortlaufend die Bildverarbeitung, damit der Roboter auch in engen Bereichen und bei ungleichmäßigen Stapeln weniger manuelle Eingriffe benötigt. Lidl investiert seit Jahren in Automatisierung. Dazu gehören automatisierte Umpalettieranlagen wie Genesys One von Premium Robotics sowie umfangreiche Intralogistikprojekte in Zusammenarbeit mit Europa Systems. Der Einsatz von Stretch reiht sich in diese Linie ein, zielt aber speziell auf den ergonomisch schwierigen Prozess des Containerentladens. Der aktuelle Roboter-Rollout betrifft ausschließlich Importlager, die große Mengen Kartons aus Übersee abwickeln. (mc) (ID:50650959) Bitte geben Sie eine gültige E-Mailadresse ein. Mit Klick auf „Newsletter abonnieren“ erkläre ich mich mit der Verarbeitung und Nutzung meiner Daten gemäß Einwilligungserklärung (bitte aufklappen für Details) einverstanden und akzeptiere die Nutzungsbedingungen. Weitere Informationen finde ich in unserer Datenschutzerklärung. Die Einwilligungserklärung bezieht sich u. a. auf die Zusendung von redaktionellen Newslettern per E-Mail und auf den Datenabgleich zu Marketingzwecken mit ausgewählten Werbepartnern (z. B. LinkedIn, Google, Meta). 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Weiterführende Inhalte Automatisierung in der Batteriefertigung Von der Modulfertigung bis zum Recycling Künstliche Intelligenz und Robotik Nicht Humanoide, sondern Roboterhunde sind das wichtigste Testfeld für Embodied AI Cookie-Manager Leserservice AGB Hilfe Abo-Kündigung Werbekunden-Center Mediadaten Datenschutz Barrierefreiheit Impressum Abo KI-Leitlinien Autoren Copyright © 2025 Vogel Communications Group Diese Webseite ist eine Marke von Vogel Communications Group. Eine Übersicht von allen Produkten und Leistungen finden Sie unter www.vogel.de Images (1):
	Boston Dynamics отменила выпуск робота-гуманоида Atlas: Техника: Наука и техника: …	https://lenta.ru/news/2024/04/18/atlas-…	1	Dec 30, 2025 00:03	active
Boston Dynamics отменила выпуск робота-гуманоида Atlas: Техника: Наука и техника: Lenta.ru URL: https://lenta.ru/news/2024/04/18/atlas-bye/ Description: Американская компания Boston Dynamics заявила о прекращении разработки робота Atlas. Об этом сообщает издание TechCrunch Content: Реклама Фото: Josh Reynolds / AP Американская компания Boston Dynamics заявила о прекращении разработки робота Atlas. Об этом сообщает издание TechCrunch. В фирме, принадлежащей корейской корпорации Hyundai, рассказали об отмене проекта Atlas. Boston Dynamics выпустила прощальное видео с записями робота-гуманоида, в котором заявила, что Atlas «пора отправиться на пенсию». В компании не назвали причину отмены проекта, однако представители фирмы заявили, что будут использовать наработки при создании других роботов. По словам журналистов, Boston Dynamics не занималась продажей Atlas коммерческим компаниям, поэтому, вероятно не смогла найти способ заработать на роботе. Также, возможно, Atlas устарел на фоне новых машин. Впервые Atlas представили почти 11 лет назад. Компания выпустила человекоподобного робота, созданного специально для замены человека на тяжелом или опасном производстве. По мнению журналистов TechCrunch, Boston Dynamics вложила в разработку гуманоида миллионы долларов. В середине марта стало известно, что немецкий автомобильный концерн Mercedes-Benz заключил договор об использовании роботов. Гуманоиды от компании Apptronik будут работать в тестовом режиме на одном из заводов Mercedes в Венгрии. Images (1):
	Boston Dynamics AI Institute eröffnet Standort in Zürich - 20 …	https://www.20min.ch/story/roboterfirma…	1	Dec 30, 2025 00:03	active
Boston Dynamics AI Institute eröffnet Standort in Zürich - 20 Minuten URL: https://www.20min.ch/story/roboterfirma-boston-dynamics-eroeffnet-standort-in-zuerich-850469497868 Description: Die renommierte US-Roboterfirma erweitert ihre Präsenz und etabliert in Zürich ihren ersten Forschungs-Hub ausserhalb der USA. Content: Das Boston Dynamics AI Institute kommt nach Zürich und eröffnet ihren ersten Forschungs-Hub ausserhalb der USA. Kann die Stadt einen ähnlichen Erfolg erzielen wie einst mit Google? Die Volkswirtschaftsdirektorin von Zürich zeigt ihre Begeisterung darüber, dass das AI Institute von Boston Dynamics seine Präsenz in ihrer Region ausbaut. Dazu schreibt Carmen Walker Späh: «Einer der weltweit führenden Akteure im Bereich Robotik wird ein Entwicklungsteam in unserem Kanton etablieren.» Das Projekt in die Schweiz geholt und die Ansiedlung betreut hat der Standortmarketingverbund Greater Zurich Area. Die eigentliche Ankündigung erfolgte letzte Woche auf den Swiss Robotics Days in Zürich. Neben Schweizer Grössen in der Robotikbranche wie beispielsweise ETH-Professor Roland Siegwart trat auch Al Rizzi auf, der eine Keynote hielt. Rizzi ist der Chief Technology Officer des AI Institute von Boston Dynamics. In einer Pressemitteilung erklärt das Institut, «dass das Team in Zürich ab Anfang 2024 an der Entwicklung intelligenter, agiler und geschickter Robotersysteme arbeiten wird, die in den anspruchsvollsten Umgebungen eingesetzt werden sollen.» Der Standort Zürich wird dem Unternehmen dabei behilflich sein, Verbindungen zu talentierten Personen, Universitäten und Forschungsorganisationen im lebendigen europäischen Umfeld zu knüpfen. Die Kultur des Instituts ist darauf ausgerichtet, das Beste aus akademischer und privater Forschung zu vereinen, wie Tippinpoint.ch schreibt. Das Boston Dynamics AI Institute wurde im August 2022 von Marc Raibert gegründet. Es gibt an, dass es 150 Vollzeitmitarbeiter und 10 Gastprofessoren beschäftigt, die eine Fläche von mehr als 30’000 Quadratmetern für Labors und Büros im Kendall Square in Boston nutzen. Das AI Institute eröffnet nun seinen ersten Forschungsstandort ausserhalb der USA. Die Volkswirtschaftsdirektorin von Zürich, Walker Späh, bezeichnet dies als eine bedeutende Chance für den Innovationsstandort Zürich. Die Entscheidung einer so renommierten Firma wie desBoston Dynamics AI Institute zugunsten von Zürich ist zunächst ein erheblicher Imagegewinn. Es bleibt jedoch abzuwarten, inwieweit das Unternehmen die bereits lebhafte Robotik-Szene zusätzlich beleben wird. Deine Meinung zählt Adventskalender Solitaire Kreuzworträtsel Sudoku Mahjong Bubbles Snake Schach eXchange Power of 2 Doppel Cuboro Riddles Wortblitz SudoKen Street Fibonacci Gumblast Rushtower Wimmlbid Bleib auf dem Laufenden. Images (1):
	How to Buy Boston Dynamics Stock - Best Wallet Hacks	https://wallethacks.com/how-to-buy-bost…	1	Dec 30, 2025 00:03	active
How to Buy Boston Dynamics Stock - Best Wallet Hacks URL: https://wallethacks.com/how-to-buy-boston-dynamics-stock/ Description: Investors are racing to buy stock in AI companies creating new and exciting products. Can you buy stock in Boston Dynamics? Learn more. Content: Best Wallet Hacks by Josh Patoka Updated February 22, 2024 Some links below are from our sponsors. At no added cost to you, some of the products mentioned below are advertising partners and may pay us a commission. This blog has partnered with CardRatings for our coverage of credit card products. This site and CardRatings may receive a commission from card issuers. Opinions, reviews, analyses & recommendations are the author's alone and have not been reviewed, endorsed or approved by any of these entities. We may receive commission from card issuers. Some or all of the card offers that appear on the WalletHacks.com are from advertisers and may impact how and where card products appear on the site. WalletHacks.com does not include all card companies or all available card offers. As an Amazon Associate, I earn from qualifying purchases. More information Artificial intelligence (AI) has become a popular theme among investors as companies use technology to turn what was once the subject of sci-fi movies into reality. One such company is Boston Dynamics, whose legged robots can dance, perform athletic tasks, and navigate uneven terrains like hills and stairs. As more organizations look to utilize robots with ever-developing capabilities, Boston Dynamics can expect strong revenues after years of research and development. This growth potential has many investors wanting to know how to buy Boston Dynamics stock. With Equitybee, accredited investors can gain investment access to high-growth, venture-backed startups before they IPO by funding employee stock options. Sign up for free today to see what companies are available now and get notified when companies like OpenAI are available. 👉 Learn more about Equitybee Originally an initiative of the Massachusetts Institute of Technology (MIT), Boston Dynamics began as a robotics and engineering startup in 1992. Today, this robotics pioneer focuses primarily on developing mobile robots for commercial and industrial uses. Other companies have also provided Boston Dynamics funding and gained an ownership stake. For example, Google is a previous stakeholder, and now Hyundai Motor Group and SoftBank are co-owners. The company eventually began making advanced robots with funding from various U.S. military agencies, including the Defense Advanced Research Projects Agency (DARPA). Those early-stage research and development contracts have helped advance robotics technology to its present state. Police and fire departments are starting to use the Spot Robo-dog to inspect suspicious packages and assess high-risk environments. Factories can also use Spot to inspect the plant at regular intervals within defined parameters for safety issues with cameras and sensors. In addition, it was recently announced that new robots from Boston Dynamics would have OpenAI’s ChatGPT capability. So far, these robots are not being sold to the general public, but needless to say, the company is pursuing consumer applications once the capabilities improve and the machine is safe to be near children, pets, and the public. Unfortunately, you cannot buy Boston Dynamics stock as it’s a privately-owned company. However, you can gain exposure indirectly by investing in Hyundai Motor Group (HYMTF) and SoftBank (SFTBF), which own Boston Dynamics and are both publicly-traded companies. Let’s take a closer look at these two companies. Hyundai Motor Group owns an 80% controlling interest in Boston Dynamics, making it the majority owner. It finalized the acquisition in June 2021 from Softbank. In a press release, the Group stated they will “create a robotics value chain, from robot component manufacturing to smart logistics solutions.” This holding company is best known for its Hyundai and Kia personal automobiles. As a result, most of the stock’s performance relies heavily on gas-powered car sales and potentially its success in autonomous vehicles, electric vehicles, and electric batteries. The South Korea-based company trades as an over-the-counter OTC stock in the U.S. stock market under the stock symbol HYMTF. This type of stock doesn’t have as much liquidity as common shares, and brokerages are more likely to charge trading commissions. In addition, not every investing app trades the HYMTF stock ticker. So, for example, you can’t buy Hyundai stock through Robinhood or M1 Finance, which are both easy-to-use platforms for beginner investors. Instead, you will need to use a discount broker like Fidelity, Schwab, or ETRADE, which offers OTC stock. Note that you may be charged a commission fee. If you’re comfortable investing directly on foreign stock exchanges through a participating broker, Hyundai trades on the Korea Stock Exchange (KRX) with stock number 005380. A subsidiary of Japan-based SoftBank owns the remaining 20% of Boston Dynamics. This investment holding company acquired its stake in 2017, when Google sold its entire interest. Through most investing apps, investors can purchase U.S.-listed ADR shares (similar to OTC stocks) of SoftBank Group Corp. through the stock ticker SFTBF. For example, you can buy SFTBF shares on Robinhood, although liquidity can still be thinner than common shares. Consider buying SoftBank shares directly from the Tokyo Stock Exchange with ticker 9984.T for more liquidity. Boston Dynamics is only a tiny portion of the SoftBank portfolio, which also invests in the following niches: SoftBank is primarily a telecommunications company with cell phone plans. The Softbank Vision Fund is a venture capital fund investing in tech startups, including Boston Dynamics, DoorDash, and Uber. Private companies like Boston Dynamics raise capital through late-stage startup investing platforms. These funding rounds help the company grow to go public when angel investors can sell their privately held shares. You must be an accredited investor to participate. If you’re eligible for these platforms, consider investing in robotics offerings as they become available. Until Boston Dynamic goes public, consider investing in the following companies if you want to profit from smart robots. Note that a stock analyzer can help you complete your due diligence to understand a stock’s risks, rewards, and how it might fit into your investment strategy. iRobot (Nasdaq: IRBT) holds the largest market share for consumer-focused robots. The producer’s Roomba robot vacuums are the most recognized consumer product. Customers can also add robotic mops and air purifiers to their home cleaning system. These machines don’t perform the same functions as the Boston Dynamics robots, but they help solve customer needs for daily tasks. Rockwell Automation (NYSE: ROK) produces industrial automation components and controls. These devices and machines increase productivity and contain smart sensors that provide real-time updates and alerts. Rockwell’s machines are mostly stationary instead of bi-ped or quad-ped roving robots with the ability to move within certain boundaries. Nvidia (Nasdaq: NVDA) is an artificial intelligence darling that provides computer chips and graphic processing units for many AI-powered devices. Boston Dynamics is one of its many customers, so the share price could increase when demand for high-tech chips is strong. A sector ETF such as Global X Artificial Intelligence & Technology ETF (Nasdaq: AIQ) provides instant exposure to multiple companies offering AI services. Its 0.68% expense ratio is higher than most broad market index funds but slightly lower than competing funds. If you want more diversity to manage risk, consider this investment option, as picking individual stocks can be riskier. Additionally, the artificial intelligence industry is relatively young, and knowing which companies will be successful is challenging. A recent example of the fund’s top 10 holdings include: Some holdings are direct competitors that might be developing similar technology, although with different applications. Other companies like Amazon may use AI to improve efficiency and automate more processes. ✨ Related: How to Buy Hulu Stock Boston Dynamics doesn’t have a stock symbol as it’s a private company. The company hasn’t filed to become a publicly-traded company. As of June 2023, there are no indications that Boston Dynamics is taking steps to have an initial public offering (IPO). For now, investors wanting exposure to AI should consider other stocks or sector ETFs. Hyundai Motor Group has an 80% controlling interest and states that Boston Dynamics operates as an independent business within the company’s broader portfolio. Further, a SoftBank affiliate owns the remaining 20%. Previously, Alphabet (formerly known as Google X) owned a controlling stake in the company from 2013 until 2017. Softbank held a 100% controlling interest from 2017 until 2021 when Hyundai purchased an 80% interest. Boston Dynamics doesn’t release financial data as it’s a private company. During the 2020-2021 acquisition from Hyundai, the deal valued the robotics company at $1.1 billion. It’s probable that the company will be worth more in 2023 as it has more investor interest and product sales. There are no risk-free investments, and investing in Boston Dynamics carries several risks. First, it’s a private company that holds a tiny position in the holdings of Hyundai (HYMTF) or SoftBank (SFTBF). The price performance for either stock is more correlated to other business ventures than robots. Also, many remain cautious about artificial intelligence ethics as there are concerns that law enforcement or military agencies can use robots to harm or target individuals. Boston Dynamics and several other leading AI companies have pledged not to sell units to buyers with intentions to use the robot as a weapon or for harmful purposes. While Boston Dynamics remains a private company without any hints of going public shortly, you can gain indirect exposure by purchasing shares in the two companies with a controlling interest (Hyundai Motors Group and SoftBank). Your other option is to invest in the broader tech sector through an exchange-traded fund and wait patiently for Boston Dynamics to go public if it ever happens. Regardless of your decision, it’s important to remember that AI companies make up a small part of the overall market and that portfolio diversification should always be a priority when deciding where to invest. The stock market may seem overvalued but you know you shouldn't try to time the market - what should you do instead? It's easy to tell people that they shouldn't react emotionally when they're investing. Don't sell when you're scared and don't… eToro is it one of the most comprehensive cryptocurrency trading apps in the industry as it offers trading in 15 cryptocurrencies. It also allows you to track and copy successful traders on the app. Webull Product Name: Webull Product Description: Webull is a trading platform that has $0 commissions on stocks, ETFs and options. … After graduating in $50k with student loans in May 2008 from Virginia Military Institute with a B.A. International Studies and Political Science with a minor in Spanish (he studied abroad in Sevilla, Spain for 3 months), Josh decided to sell his soul for seven years by working in the transportation industry to get out of debt ASAP and focus on doing something else with a better work-life balance. He is a father of three and has been writing about (almost) everything personal finance since 2015. You can also find him at his own blog Money Buffalo where he shares his personal experience of becoming debt-free (twice) and taking a 50%+ pay cut when he changed careers. Today, Josh relishes the flexibility of being self-employed and debt-free and encourages others to pursue their dreams. Josh enjoys spending his free time reading books and spending time with his wife and three children. Opinions expressed here are the author's alone, not those of any bank or financial institution. This content has not been reviewed, approved or otherwise endorsed by any of these entities. Δ Δ As Seen In: Disclaimer I am not a financial adviser. The content on this site is for informational and educational purposes only and should not be construed as professional financial advice. Please consult with a licensed financial or tax advisor before making any decisions based on the information you see here. Advertising Disclosure I may be compensated through 3rd party advertisers but our reviews, comparisons, and articles are based on objective measures and analysis. For additional information, please review our advertising disclosure. Contact Us Best Wallet Hacks P.O. Box 323 Fulton, MD 20759 Email Us © 2025 Best Wallet Hacks • All rights reserved Images (1):*
	Tutor Raises $34 Million to Teach Warehouse Robots	https://www.pymnts.com/news/investment-…	1	Dec 29, 2025 16:00	active
Tutor Raises $34 Million to Teach Warehouse Robots URL: https://www.pymnts.com/news/investment-tracker/2025/tutor-raises-34-million-to-teach-warehouse-robots/ Content: Tutor Intelligence, which makes AI-powered robots for warehouse work, has raised $34 million in new funding. Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required. yesSubscribe to our daily newsletter, PYMNTS Today. By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. Δ The company will use the new capital to speed commercialization of its robots, scale its consumer packaged goods (CPG) fleet and advance its central robot intelligence platform and research infrastructure, according to a Monday (Dec. 1) news release. “Tutor stands out for its extraordinary speed of execution and its ability to balance cutting-edge product and model development with a clear commercial focus that quickly gets this functionality into customers’ hands,” Rebecca Kaden, managing partner at Union Square Ventures, which led the funding round, said in the release. “They’re not building for an abstract future; they’re transforming how CPG companies operate today.” Founded out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Tutor Intelligence’s robots work alongside human operators to process goods for a “vast Fortune 50 supply chain network,” the company said in the release. It also works with multiple Fortune 500 packaged food companies, and “global leaders” in the personal care, toys, home goods, beauty and consumer technology spaces. “When we started Tutor Intelligence nearly five years ago as grad students at MIT, we saw that the robotics intelligence bottleneck was the key barrier to robotic worker viability,” said Josh Gruenstein, the company’s co-founder and CEO. “We built a system that leverages on-the-job data to teach robots to navigate and understand the physical world with human-like intuition. This new capital enables us to expand our fleet, scale our robot training infrastructure, and empower our robots to tackle increasingly complex tasks, reshaping industrial work as we know it.” Advertisement: Scroll to Continue The funding comes at a time when, as covered here last month, physical artificial intelligence (AI) is emerging as the next stage of robotics. Earlier robots followed fixed commands and worked only in predictable environments, having trouble with the unpredictability found in everyday operations such as shifting layouts, mixed lighting, and human movement. “That is beginning to change as research groups show how simulation, digital twins and multimodal learning pipelines enable robots to learn adaptive behaviors and carry those behaviors into real facilities with minimal retraining,” PYMNTS wrote. Amazon’s launch of its Vulcan robot is one of the clearest examples of physical AI moving from research to frontline operations. This robot uses both vision and touch to pick and stow items in the company’s fulfillment centers, letting it handle flexible fabric storage pods and unpredictable product shapes. Terraform Labs Co-Founder Do Kwon Sentenced to 15 Years in Prison Costco’s Digital Sales Surge 21% as Members Maintain Spending Appeals Court Says Judge Must Consider Allowing Apple to Collect Commission Disney's $1 Billion Bet: A Licensing Model With OpenAI for User Content We’re always on the lookout for opportunities to partner with innovators and disruptors. Images (1):
	HIT Shenzhen Team Develops Multimodal Large Model 'JiuTian', Tops OpenCompass …	https://pandaily.com/hit-shenzhen-team-…	1	Dec 29, 2025 16:00	active
HIT Shenzhen Team Develops Multimodal Large Model 'JiuTian', Tops OpenCompass Ranking - Pandaily URL: https://pandaily.com/hit-shenzhen-team-develops-multimodal-large-model-jiutian-tops-opencompass-ranking/ Description: The first multimodal large-scale model 'JiuTian' has topped the OpenCompass multimodal large-scale model ranking upon its debut evaluation. Content: Want to read in a language you're more familiar with? The first multimodal large-scale model 'JiuTian' has topped the OpenCompass multimodal large-scale model ranking upon its debut evaluation. Harbin Institute of Technology (Shenzhen) Computing and Intelligence Research Institute team, relying on Shenzhen Hashen Asset Management Co., Ltd. for achievement transformation, has established a multimodal large-scale model development enterprise - Shenzhen Ruoyu Technology Co., Ltd. (abbreviated as 'Ruo Yu Technology') The first multimodal large-scale model 'JiuTian' under Shenzhen Ruoyu Technology Co., Ltd. has topped the OpenCompass multimodal large-scale model ranking upon its debut evaluation. '123 billion parameters', '120 million image-text pairs', '5.5 million bilingual language samples', '1.2 million fine-tuning data samples', â500,000 reinforcement data samplesâ... The improvement of core parameters brings about a qualitative change in the model's capabilities. JiuTian multimodal large-scale model has achieved remarkable performance in logical reasoning, relational reasoning, and perceptual abilities. With over billions of parameters, JiuTian has achieved multimodal fusion of text, images, audio, and video. Its intelligent understanding and response capabilities not only cover fields such as natural language processing, computer vision, and speech recognition but also effectively break down the information barriers between different modalities, integrating them into a unified 'JiuTian'. 'The 'JiuTian' symbolizes the highest celestial realm in ancient Chinese mythology, representing our boundless pursuit of technological progress and longing for an intelligent future. This model transcends the boundaries of various modes such as text, images, audio, and video with its powerful understanding and responsive capabilities, achieving true multimodal fusion.' Dr. Sun Teng, CEO of Ruoyu Technology, explained: 'By finding bridges that connect various fields from a disordered and fragmented information world, integrating information from different domains such as natural language processing, computer vision, and speech recognition breaks down the information silos between modalities and truly achieves orderly flow and communication of information.' Harbin Institute of Technology Shenzhen Campus has established an asset joint-stock company to encourage the transformation and implementation of achievements by faculty and staff. HIT (Shenzhen) receives policy support for the integration of production, education, and research. If Shenzhen Ruoyu Technology Co., Ltd. had been established from the beginning with the school as an initial shareholder, it would have provided strong support for the company's development. Recently, the well-known magazine IEEE Intelligent Systems announced its list of 'AI's 10 to Watch' for the year 2022. Professor Nie Liqiang was included in this list due to his contributions in the field of multimodal research. Professor Nie is a recipient of the DAMO Academy Qingcheng Award and TR35 China Award. He stated that the achievements of Harbin Institute of Technology (Shenzhen) in the field of artificial intelligence should not only exist within laboratories but also be transformed into practical applications to serve national defense, aerospace, and society. If Ruoyu Technology Co., Ltd. has another AI expert as a co-founder, it would be Professor Zhang Min. Professor Zhang is the Assistant President of Harbin Institute of Technology (Shenzhen), the first distinguished young scholar in NLP field in China, a national "Top Talent" recipient, a mid-career expert with outstanding contributions recognized by the state, and he also enjoys special allowances from the State Council. Harbin Institute of Technology ranks first among Chinese research institutions in NLP direction according to CSRankings (2022-2023), an authoritative ranking list in computer science. Professor Zhang is the most influential person at Harbin Institute of Technology in this field. Dr. Sun Teng, co-founder and CEO of Ruoyu Technology Co., Ltd. , is also a core expert in the company's research and development team. Dr. Sun's research has always focused on multimedia computing, with related achievements published in CCF A-class conferences and IEEE/ACM Trans. Dr. Sun has previous successful entrepreneurial experience and possesses full-process experience in the application of artificial intelligence technology in vertical fields as well as company management expertise. Geng Chen, another co-founder of Ruoyu Technology Co., Ltd. , serves as the company's strategic advisor. He has been repeatedly recognized as the best technology analyst by New Fortune magazine and has accumulated rich industry resources throughout his years of research career. He is responsible for investment and financing activities as well as connecting industrial resources for the company's implementation purposes. âIf Ruoyu Technology Co., Ltd. was established at this time, it has its historical mission and ideals. As cutting-edge researchers, we deeply feel the transformative impact of artificial intelligence on future society. The productivity explosion brought by generative AI will redefine production relationships in various industries. It is our honor and mission to have the opportunity to participate in it. âComputing power, data, and talent are the three major barriers for entering the field of large-scale models, and Ruoyu Technology Co., Ltd. has gathered these core elements from its inception. The internally developed research and development team led by top talents has formed independent iterative capabilities. In the future, under the leadership of technical experts, âJiuTianâwill continue to iterate. With top-notch entrepreneurial team, core capabilities in self-developed multimodal large models, and successful practical experience, Ruo Yu Technology expresses that it will bring a touch of brilliance to the 'Battle of Hundred Models'. Based on the foundation of large-scale model capabilities, reshaping each track has become an industry consensus. According to OpenAI's development path, when models reach a certain size, new abilities will emerge, especially some previously unseen capabilities. If JiuTian will continue to iterate in the future, Dr. Sun Teng said: 'JiuTian' is still iterating towards both larger and smaller directions. On one hand, it is increasing the scale of parameters to explore nodes that support the emergence of universal multimodal large models. On the other hand, in order to meet the application needs of industry users and achieve maximum effects with minimal computing power, it is necessary to compress large models into lightweight ones and combine them with edge computing devices. SEE ALSO: SenseTime Releases Large Multimodal Model amid ChatGPT Boom Based on the multimodal framework of 'JiuTian', Ruo Yu Technology's business model has a fundamental difference from the AI 1.0 era. In the past, the business model required redeveloping algorithms for each specific demand, operating on a project basis. With 'JiuTian' as a unified multimodal foundation, there is no need to redesign the framework; only minor adjustments based on different industry data are necessary to obtain corresponding industry models. Customers can even make secondary adjustments themselves according to their specific domain requirements using their own data. The difficulty of multimodal large models lies in the fusion of multimodal information. Common fusion methods include linear addition, cascading, and other relatively crude means. However, the final effect is often not as impressive as that of a single modality. This is because some technical teams lack experience and capabilities in fine-tuning multimodal data, integrating and aligning multimodal features. JiuTian has a fully integrated model training framework for autonomous development of multimodal feature extraction, alignment, fusion, and inference, as well as a comprehensive and meticulous process for collecting and cleaning multimodal data. The model's top ranking on the multimodal large-scale model list proves the team's leading capabilities in the field of multimodal large-scale models. Robots are system-level application products in the industrial field, and they are a key direction empowered by the multimodal large model base of 'Ruo Yu-Jiu Tian'. Harbin Institute of Technology currently has deep industry-academia-research accumulation in the field of robotics. In the future, embodied robots will require the fusion of multimodal information such as speech, vision, decision-making, and control to form a closed loop. The multimodal large model base of 'JiuTian' will further integrate research based on Harbin Institute of Technology's accumulated expertise in robotics and has already established deep cooperation with several large consumer electronics/automotive companies. With the 'JiuTian' multimodal large model base, Ruo Yu Technology has the ability to provide personalized and customized services for users in different fields through fine-tuning of existing multimodal large model bases. It provides capabilities such as language pre-training large models, multimodal pre-training large models, and vertical domain pre-training large models, aiming to build a future AI general-purpose platform and infrastructure. Related posts coming soon... Pandaily is a tech media based in Beijing. Our mission is to deliver premium content and contextual insights on China's technology scene to the worldwide tech community. Â© 2017 - 2025 Pandaily. All rights reserved. Images (1):
	2026 AI Trends: Multimodal Models, Agents, and Quantum Tech Transform …	https://www.webpronews.com/2026-ai-tren…	1	Dec 29, 2025 16:00	active
2026 AI Trends: Multimodal Models, Agents, and Quantum Tech Transform Industries URL: https://www.webpronews.com/2026-ai-trends-multimodal-models-agents-and-quantum-tech-transform-industries/ Description: Keywords Content: In the fast-evolving world of technology, 2026 promises to be a pivotal year where artificial intelligence moves beyond hype into tangible, enterprise-level impact. Industry leaders are shifting from pilot projects to full-scale deployments, driven by advancements in AI infrastructure and multimodal models. According to insights from Deloitte Insights, successful organizations are leveraging these tools to transition from experimentation to measurable outcomes, emphasizing the integration of AI with existing systems for strategic advantages. This shift is not just about adopting new tools but rethinking business models entirely. For instance, AI-powered decision-making is combining with Internet of Things (IoT) and blockchain to enable real-time analytics and secure data sharing. Posts on X highlight how these integrations are expanding AI’s role from operational support to core strategic planning, with examples like multilingual generative AI enhancing global operations. Meanwhile, the push for sustainability is intertwining with tech innovations, as companies invest in green technologies to meet regulatory demands and consumer expectations. Reports indicate that bio-based materials and decentralized renewable energy sources are gaining traction, positioning them as key growth areas in the post-2025 era. AI’s Expanding Dominion in Enterprise Strategy The rise of agentic AI, where systems autonomously perform tasks and make decisions, is set to redefine workflows across sectors. Simplilearn outlines how emerging technologies like this are shaping job markets and innovation pipelines, predicting a surge in demand for skills in AI governance and ethical implementation. In parallel, multimodal AI models that process text, images, and audio simultaneously are enabling more sophisticated applications, from advanced healthcare diagnostics to personalized consumer experiences. This convergence is particularly evident in telemedicine platforms and mental health apps, which are leveraging AI for proactive interventions. Challenges remain, however, including the need for robust data privacy measures and addressing biases in AI systems. Industry insiders note that as AI integrates deeper into critical sectors like healthcare and finance, regulatory frameworks will evolve to ensure accountability without stifling progress. Quantum Leaps and Neuromorphic Computing on the Horizon Quantum computing is another frontier gaining momentum, with potential to solve complex problems in drug discovery and financial modeling at unprecedented speeds. The World Economic Forum lists it among the top emerging technologies for 2025, extending into 2026, highlighting its role in accelerating scientific breakthroughs. Neuromorphic computing, mimicking the human brain’s efficiency, is emerging as a solution to the energy demands of traditional AI hardware. Juniper Research identifies this as a trend to watch, noting its potential to enable physical AI—robots and devices that learn and adapt in real-world environments. This technology is particularly promising for edge computing, where low-power, high-efficiency processing is crucial. Innovations in this area could revolutionize industries like manufacturing, with AI-driven diagnostics and 3D printing for on-demand production reducing waste and costs. Sustainability Drives Tech Innovation Waves The intersection of technology and environmental responsibility is creating new opportunities in renewable energy and circular economies. Decentralized systems powered by blockchain are facilitating peer-to-peer energy trading, as seen in emerging agri-tech solutions that optimize resource use. McKinsey ranks sustainability-focused tech among the top trends, emphasizing how companies are using AI to monitor and reduce carbon footprints in supply chains. This includes predictive analytics for energy consumption in data centers, which are exploding in number due to AI demands. Posts on X underscore the investment potential in AI infrastructure, with cloud giants like Microsoft and Amazon ramping up monetization efforts. These developments are not without hurdles, as the energy requirements of massive data centers raise concerns about grid stability and environmental impact. Blockchain’s Role in Secure Digital Ecosystems Beyond cryptocurrencies, blockchain is evolving into a foundational technology for secure, transparent transactions across industries. Its integration with AI and 5G is enabling innovations in supply chain management and digital identities, reducing fraud and enhancing traceability. In healthcare, blockchain-secured data sharing is improving patient outcomes by allowing seamless, privacy-protected access to records. SciTechDaily reports on breakthroughs in biotechnology that leverage these secure frameworks for collaborative research. The automotive sector is also benefiting, with concepts in electric vehicles (EVs) incorporating blockchain for battery lifecycle management and smart contracts for autonomous vehicle interactions. As the industry navigates hybrid and battery-electric transitions, these technologies ensure efficiency and compliance. The Surge of Physical AI and Robotics Physical AI, where intelligent systems interact with the physical world, is poised for significant advancements. Robots equipped with neuromorphic chips are becoming more autonomous, capable of learning from environments without constant human oversight. TechTarget discusses trends like this in machine learning, predicting widespread adoption in logistics and healthcare by 2026. For example, AI-driven robotics in surgery could enhance precision and reduce recovery times. Challenges in scalability and ethical deployment are prompting discussions on governance. Industry experts on X emphasize the need for open-source AI to foster competition and innovation, especially in geopolitical contexts like U.S.-China tech rivalries. Navigating Geopolitical Influences on Tech Progress Global tensions are influencing tech development, with calls for open-source initiatives to counter proprietary dominance. Elon Musk’s ventures, often highlighted in media, exemplify how individual leaders can shape federal policies on AI and space tech. WIRED reflects on 2025’s key stories, including AI data center expansions and political takeovers, projecting similar dynamics into 2026. This includes debates over post-quantum cryptography to secure communications against future threats. Investment themes on X point to digital banks and AI infrastructure as high-growth areas, with cloud providers leading the charge. These trends suggest a maturing market where profitability drives innovation rather than speculation. Innovations in XR and Foldable Devices Extended reality (XR) technologies are blending virtual and augmented realities for immersive experiences in education and training. The mobile tech sector is seeing revolutions with tri-fold devices and ultra-thin designs, as noted in recent analyses. Android Central details how 2025’s foldables and AI integrations are fundamentally changing user interactions, with 2026 expected to build on this by incorporating more seamless AI assistants. In consumer electronics, these innovations are driving competition, with companies like Samsung and Apple pushing boundaries in hardware that supports advanced software ecosystems. The result is a more connected, intuitive user experience that blurs lines between devices. Healthcare Transformations Through Tech Integration AI’s role in healthcare is expanding rapidly, from predictive diagnostics to personalized medicine. Multimodal models are analyzing vast datasets to identify patterns in diseases, accelerating drug development. Jagran Josh lists breakthroughs like autonomous agents in medical research, which are set to define 2026’s advancements. Telemedicine platforms enhanced by AI are making healthcare more accessible, especially in remote areas. Ethical considerations, such as data sovereignty and bias mitigation, are critical. Regulatory bodies are stepping in to ensure these technologies benefit society equitably, balancing innovation with public trust. The Future of Work in an AI-Driven World As AI automates routine tasks, the workforce is shifting toward roles requiring creativity and strategic thinking. Remote work norms, amplified by digital tools, are becoming standard, as per startup trends discussed on X. Capgemini explores how these changes are driving industry transformation, with a focus on upskilling programs to prepare employees for an AI-first environment. Investments in synthetic biology and longevity research are opening new frontiers, potentially extending human capabilities and creating markets in bio-based innovations. This holistic approach ensures technology enhances human potential rather than replacing it. Strategic Investments and Market Dynamics Venture capital is flowing into AI infrastructure, with hyperscalers projecting massive capital expenditures. Posts on X from investors highlight profitable growth in cloud revenues, underscoring the economic viability of these technologies. Firstpost recaps 2025’s defining innovations, noting AI’s dominance alongside breakthroughs in EVs and biotechnology, setting the stage for 2026’s expansions. Companies like Tesla and Amazon exemplify how innovation leads to market leadership, with revenue growth tied to tech adoption. As 2026 unfolds, the focus will be on scalable, impactful solutions that address real-world challenges. Emerging Sectors and Long-Term Visions New sectors like advanced waste management and micro-factories are emerging, driven by 3D printing and AI optimization. These areas promise sustainable growth, reducing environmental footprints while creating jobs. Popular Science celebrates 2025’s greatest innovations, including automotive shifts toward hybrids and EVs, which will influence 2026’s transportation tech. Ultimately, the tech environment in 2026 will be defined by interconnected innovations that prioritize impact over novelty. Industry insiders must navigate these trends with foresight, investing in technologies that align with broader societal goals for enduring success. Subscribe for Updates The AITrends Email Newsletter keeps you informed on the latest developments in artificial intelligence. Perfect for business leaders, tech professionals, and AI enthusiasts looking to stay ahead of the curve. Help us improve our content by reporting any issues you find. Get the free daily newsletter read by decision makers Get our media kit Deliver your marketing message directly to decision makers. Images (1):
	NEO, the Worldâs First Native Multimodal Architecture, LaunchesâAchieving Deep Vision-Language …	https://pandaily.com/neo-the-world-s-fi…	1	Dec 29, 2025 16:00	active
NEO, the Worldâs First Native Multimodal Architecture, LaunchesâAchieving Deep Vision-Language Fusion and Breaking Industry Bottlenecks - Pandaily URL: https://pandaily.com/neo-the-world-s-first-native-multimodal-architecture-launches-achieving-deep-vision-language-fusion-and-breaking-industry-bottlenecks Description: SenseTime and Nanyang Technological University have unveiled NEO, the worldâs first scalable, open-source native multimodal architecture that fundamentally fuses vision and language. Content: Want to read in a language you're more familiar with? SenseTime and Nanyang Technological University have unveiled NEO, the worldâs first scalable, open-source native multimodal architecture that fundamentally fuses vision and language. On December 5, 2025, SenseTime, together with Nanyang Technological University and other research teams, released NEO, the worldâs first scalable, open-source native multimodal architecture (Native VLM), breaking free from the limitations of traditional modular âassembly-styleâ models and marking the arrival of a new era of true multimodal fusion. Unlike mainstream modular models such as GPT-4V or Claude 3.5, NEO discards the conventional âvision encoder + projection layer + language modelâ pipeline and instead builds a unified multimodal âbrainâ. Its breakthroughs stem from three native technologies: Real-world evaluations show that NEO matches top models such as Qwen2-VL and InternVL3 on visual tasks(including AI2D and DocVQA) using only 390 million image-text pairsâjust one-tenth of the data used by comparable models. On benchmarks like MMMU and MMBench, NEO outperforms other native VLMs in overall capability. Its 2Bâ8B parameter models deliver exceptional inference cost-efficiency, making them suitable for mobile devices, robots, and other edge scenarios. SenseTime has already open-sourced the 2B and 9B versionsof NEO and plans to extend the architecture to video understanding, 3D interaction, and more. This new framework not only introduces a fresh paradigm for multimodal AI, but also accelerates the shift of advanced AI from the cloud to edge devices, representing a significant contribution by Chinese researchers to global AI architecture innovation. Related posts coming soon... Pandaily is a tech media based in Beijing. Our mission is to deliver premium content and contextual insights on China's technology scene to the worldwide tech community. Â© 2017 - 2025 Pandaily. All rights reserved. Images (1):
	China AI helps humanoid robots handle more objects with less …	https://interestingengineering.com/ai-r…	1	Dec 29, 2025 16:00	active
China AI helps humanoid robots handle more objects with less training URL: https://interestingengineering.com/ai-robotics/humanoids-complete-household-tasks-with-less-training Description: Chinese researchers unveil RGMP, a data-efficient AI framework boosting humanoid robots’ grasping skills and generalization. Content: From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies. We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. RGMP helps humanoids adapt quickly to new environments, enabling them to perform household chores without additional training. Researchers in China have introduced a new AI framework designed to enhance humanoid robot manipulation. According to researchers at Wuhan University, RGMP (recurrent geometric-prior multimodal policy) aims to improve grasping accuracy across a broader range of objects and enable robots to perform more complex manual tasks. Unlike many data-driven methods that rely on large training datasets, RGMP incorporates geometric reasoning to boost generalization in new or unpredictable environments. The framework achieves 87 percent generalization and is 5 times more data-efficient than leading diffusion-based models, combining spatial reasoning with efficient learning. The researchers say the framework could be a step toward more adaptable and capable humanoid systems. For humanoid robots to operate independently, they must reliably handle multiple objects across different environments. Current machine learning models often work well only when the robot operates in settings similar to those used during training. These systems rely heavily on large datasets and do not fully use geometric reasoning or spatial awareness, making it difficult for robots to adapt in new situations. Vision-language models can understand instructions but often struggle to link them with the correct actions, especially when object shapes or contexts vary. According to researchers, other approaches, like diffusion or imitation learning, require many demonstrations and still fail to generalize. This raises two key questions: how robots can reason about object geometry and how they can learn effectively with fewer examples. To address limitations in current robot manipulation systems, the team developed RGMP, a new end-to-end framework that combines geometric reasoning with efficient learning. The first part, called the Geometric-prior Skill Selector (GSS), helps the robot choose the correct action based on an object’s shape and task requirements, much as humans decide whether to grasp, pinch, or push. It uses simple geometric rules and works even in new environments. The second part, the Adaptive Recursive Gaussian Network (ARGN), improves learning from small datasets by storing and updating spatial memory. It models the robot’s interactions with objects over time, thereby avoiding vanishing gradients. Together, these components help robots generalize better and handle more complex tasks with fewer training examples. The team tested the RGMP framework to assess its performance and generalization. Experiments were carried out on two types of robots: a humanoid system and a desktop dual-arm robot equipped with cameras and 6-DoF arms. A dataset of 120 demonstration trajectories was used, and performance was measured through two metrics: selecting the correct skill and executing it accurately. RGMP was compared with leading models, including ResNet50, Diffusion Policy, Octo, OpenVLA, and others. The results show RGMP performed better across multiple manipulation tasks, including unseen objects and new environments. Researchers claim the GSS module improved skill selection by up to 25 percent, while ARGN and Gaussian modeling improved execution accuracy. The system also required far fewer training samples—achieving high performance with just 40 examples, compared to 200 needed by baseline models—demonstrating strong efficiency and adaptability. The team highlights that by linking skills to object context and breaking 6-DoF motions into Gaussian components, the system improves efficiency and generalization. RGMP achieves 87 percent generalization accuracy and uses 5 times less data than the Diffusion Policy during human-robot interaction tests. The results show that integrating symbolic reasoning with learning improves adaptability across new objects and environments. Future research will focus on enabling robots to infer actions for new objects after learning just one example. The Wuhan University team’s research details are available on the arXiv preprint server. Jijo is an automotive and business journalist based in India. Armed with a BA in History (Honors) from St. Stephen's College, Delhi University, and a PG diploma in Journalism from the Indian Institute of Mass Communication, Delhi, he has worked for news agencies, national newspapers, and automotive magazines. In his spare time, he likes to go off-roading, engage in political discourse, travel, and teach languages. Premium Follow Images (1):
	China Recap \| AI and robots take center stage	https://kr-asia.com/china-recap-ai-and-…	1	Dec 29, 2025 16:00	active
China Recap \| AI and robots take center stage URL: https://kr-asia.com/china-recap-ai-and-robots-take-center-stage Description: New breakthroughs buttress the view that China is drawing closer to US capabilities. Content: Written by Vicky Chang Published on 15 Sep 2025 3 mins read China Recap is a weekly roundup tracking Chinese companies expanding abroad, covering market entries, funding rounds, product launches, and global partnerships. China’s corporate globalization strategy is evolving fast. Industry giants are rewriting the global playbook, while a new generation of companies charts fresh paths overseas. China Recap tracks both—focusing on strategic expansion, brand building, and localized operations—to help readers make sense of shifting trends and understand how Chinese firms are reshaping their global approach. This edition highlights China’s advances in artificial and embodied intelligence, as humanoid robots move toward commercialization and AI infrastructure and applications expand in function and capacity. Meituan has launched Xiaomei, an app powered by its LongCat large model, to strengthen its food delivery and local services. Xiaomei uses AI agents to let users order meals by voice and book restaurants. Shares rose in Hong Kong after the rollout, which comes as Alibaba and JD.com escalate competition in China’s delivery market. —Bloomberg UBTech Robotics has won a RMB 250 million (USD 35 million) contract for its Walker S2 humanoid robots, which it described as the “world’s largest order” of its kind. Deliveries will begin this year, and the deal includes operational support services. The Hong Kong-listed firm did not name the client. —Nikkei Asia Alibaba and Baidu have reportedly begun using self-designed chips to train AI models, partly replacing Nvidia hardware. Alibaba has applied its chips to smaller models, while Baidu is testing its Kunlun P800 for Ernie. The shift reflects US export curbs and Beijing’s push for tech self-sufficiency, though both firms still rely on Nvidia for top-tier models. —The Information Ant Group has unveiled its first humanoid robot, R1, at a Shanghai tech conference, highlighting its shift toward AI-powered robotics. Designed to handle tasks from cooking to medical assistance, the R1 runs on Ant’s in-house large model and reflects its strategy to scale AI assistant use across China. —Bloomberg China has reportedly narrowed its gap in AI development with the US to about three months, driven by rapid iteration, open-source model advances, and strategic chip reserves, according to CITIC CLSA. However, it still lags in advanced semiconductor production, which remains a longer-term hurdle that constrains progress in cutting-edge AI capabilities. —SCMP RELATED ARTICLENewsChina Recap \| How fandoms shape marketsWritten by Vicky Chang Written by Vicky Chang Unitree Robotics is reportedly preparing to file for an IPO in the final quarter of 2025, targeting a valuation of up to RMB 50 billion (USD 7 billion). Already profitable and active in factory deployments, Unitree could become one of the first humanoid robotics firms to go public. —CNBC ByteDance’s Seed team has released Seedream 4.0, a multimodal AI model for text-to-image generation and editing. It supports 4K output, faster inference, visual signal control, and in-context reasoning. Now live via Dreamina, Doubao, and Volcano Engine, the unified system has shown notable performance across creative tasks. Tencent has released its AI CLI tool, CodeBuddy Code, and launched the global open beta of CodeBuddy IDE. The move positions Tencent Cloud as China’s first provider to support AI-driven coding across plugin, IDE, and CLI formats. Developers can use natural language in the terminal to automate tasks like refactoring, testing, and deployment. —IT Zhijia Alibaba Cloud has led a RMB 1 billion (USD 140 million) Series A+ funding round for Shenzhen-based X Square Robot, marking its first investment in embodied intelligence. Other investors that took part include CAS Investment, China Development Bank Capital, HongShan, Meituan, and Legend Capital. The funds will support training of foundation models and hardware development. —SCMP That wraps up this edition of China Recap. If your company is expanding internationally, we’d love to hear about your latest milestones. Get in touch to share your story. Loading... Subscribe to our newsletters KrASIA A digital media company reporting on China's tech and business pulse. Images (1):
	From Navigation to Cognition: Building a Multimodal AI Robot - …	https://www.hackster.io/HiwonderRobot/f…	1	Dec 29, 2025 16:00	active
From Navigation to Cognition: Building a Multimodal AI Robot - Hackster.io URL: https://www.hackster.io/HiwonderRobot/from-navigation-to-cognition-building-a-multimodal-ai-robot-986212 Description: MentorPi melds SLAM navigation and multimodal AI to explore and describe its world through natural commands. Find this and other hardware projects on Hackster.io. Content: Add the following snippet to your HTML:<iframe frameborder='0' height='385' scrolling='no' src='https://www.hackster.io/HiwonderRobot/from-navigation-to-cognition-building-a-multimodal-ai-robot-986212/embed' width='350'></iframe> MentorPi melds SLAM navigation and multimodal AI to explore and describe its world through natural commands. Read up about this project on MentorPi melds SLAM navigation and multimodal AI to explore and describe its world through natural commands. Have you ever imagined owning a robot that not only follows commands but truly understands what you want to explore? Traditional robots might get you from point A to point B, but what if it could genuinely see the world around it and converse with you like a partner? Meet MentorPi, an open-source robotic platform built on the Raspberry Pi 5 and ROS 2. It's far more than just a SLAM navigation rover; it's an intelligent agent deeply integrated with multimodal AI large models (language, vision, speech), merging precise low-level motion control, robust environmental perception, and high-level cognitive reasoning into a single, hands-on system. Imagine saying to it: "Hey Mentor, first go to the zoo and see what animals are there; then head to the supermarket to check out what fruits are available; finally, take me to the soccer field for a game." In traditional human-robot interaction, executing this seamlessly is nearly impossible—it contains three distinct layers of tasks: MentorPi accomplishes this coherently, thanks to the synergy between semantic understanding from large models and its SLAM navigation system. 1. Task Comprehension & Planning Voice commands are captured and converted to text. A Language Large Model deconstructs the natural language instruction, extracting the three locations and their associated visual tasks to generate a structured mission queue. 2. Autonomous Navigation & Obstacle Avoidance The SLAM system (using LiDAR and a prior map) handles point-to-point navigation. Orchestrated by ROS 2, the robot plans optimal paths, moves reliably, avoids obstacles, and reaches each target area in sequence. 3. Visual-Semantic Understanding Upon arrival, the Vision Large Model activates, scanning the scene via a 3D depth camera. At the Zoo: It doesn't just detect "animals" but provides a detailed description: "The scene includes models of a giraffe, kangaroo, tiger, etc." At the Supermarket: It focuses on identifying fruits, reporting: "Various fruits are available, such as apples, bananas, grapes, and oranges. You can choose based on preference." This represents an evolution from merely "seeing" to "comprehending" the scene's semantic content. 4. Task Completion & Closure Arriving at the soccer field, the robot confirms the user's intent is satisfied, reporting "Arrived at the soccer field, ready to play!" and closing the task loop. MentorPi is not just a demo; it's a fully open-source platform designed for learning and development: Open Hardware: Based on Raspberry Pi 5 & ROS 2, it's highly extensible and compatible with various sensors. Flexible AI Integration: Supports either local lightweight models or cloud-based AI APIs (like GPT-4V), allowing you to balance performance and cost. Modular Design: Clear separation between SLAM, voice interaction, visual recognition, and navigation modules makes debugging and customization easier. Learning-Friendly: An ideal platform for advancing your skills in robotics, SLAM, 3D vision, human-robot interaction, and AI integration. MentorPi's breakthrough lies in its deep fusion of precise spatial positioning from SLAM ("where am I") with rich semantic understanding from AI models ("what is here, what is this place"). This transforms the robot from a simple tool executing "go to coordinates (x, y)" into a responsive "exploration partner" that interacts meaningfully with its environment. We believe the future of robotics lies not in faster movement or more precise grasping, but in how well robots understand our world and how naturally we can collaborate with them. MentorPi is our practical step in that direction, and we hope it becomes a starting point for more developers, students, and enthusiasts to enter the exciting field of Embodied AI. Let's turn robots from mere tools into curious extensions for exploring the world around us. Hackster.io, an Avnet Community © 2025 Images (1):
	Meta Pivots to AI Backbone for Humanoid Robots with Llama …	https://www.webpronews.com/meta-pivots-…	1	Dec 29, 2025 16:00	active
Meta Pivots to AI Backbone for Humanoid Robots with Llama Models URL: https://www.webpronews.com/meta-pivots-to-ai-backbone-for-humanoid-robots-with-llama-models/ Description: Keywords Content: In the rapidly evolving world of artificial intelligence and robotics, Meta Platforms Inc. is positioning itself not just as a social media giant, but as a pivotal force in humanoid robot development. Drawing from its vast resources in AI, the company is betting big on becoming the software backbone for these advanced machines, much like how Android powers a multitude of smartphones. This strategic pivot comes amid a surge of interest from tech behemoths, with Meta’s chief technology officer, Andrew Bosworth, recently revealing in an interview that the firm views humanoid robots as its next “AR-sized bet,” referring to the scale of investment akin to its augmented reality efforts. Bosworth’s comments, highlighted in a fresh report from PCMag, underscore Meta’s focus on licensing its open-source Llama AI models to third-party robot manufacturers. Rather than delving deeply into hardware production, Meta aims to provide the intelligent software layer that enables robots to perform complex tasks like dexterous manipulation—grasping objects with human-like precision. This approach could democratize robotics, allowing companies like Figure or Unitree to integrate Meta’s tech seamlessly, accelerating deployment in homes and workplaces. Meta’s Ambitious Roadmap: From AI Models to Real-World Helpers Internal memos and partnerships signal Meta’s seriousness. As early as February 2025, Reuters reported that Meta established a dedicated division within its Reality Labs unit to build AI-powered humanoid robots capable of assisting with physical tasks, such as household chores. The company has engaged in discussions with robotics firms, positioning itself as a platform provider rather than a direct competitor to hardware-focused players like Tesla’s Optimus. This isn’t Meta’s first foray into tactile and sensory tech for robots. Posts on X from sources like The Humanoid Hub in late 2024 highlighted Meta’s advancements in touch sensing, including a universal touch encoder and artificial fingertips for multimodal interaction. These innovations, built on projects like Project Aria, are feeding into broader humanoid development, with researchers at Georgia Tech collaborating on algorithms that use human data to train robots faster, as shared in updates from AI at Meta on X. Industry Momentum and Competitive Pressures Driving Innovation The broader push for humanoid robots is gaining steam, with investments booming across the sector. A September 2025 article in The Washington Post noted a frenzy of funding from companies like Amazon and Meta, leading to new robots appearing in homes and workplaces. Meanwhile, Bloomberg reported in February 2025 that Apple and Meta are set to battle in this space, with Meta’s efforts potentially clashing with Apple’s hardware prowess. Challenges remain, however. IEEE Spectrum’s analysis from September 2025 points to scaling hurdles, including battery life, safety concerns, and high demand that could strain production. Meta’s software-centric strategy might sidestep some hardware pitfalls, but it must prove its AI can handle real-world variability. Bosworth admitted in the PCMag interview that dexterous manipulation is the “real hurdle,” not basic locomotion, echoing sentiments from Nvidia CEO Jensen Huang at CES 2025, who predicted a $38 billion market and a “ChatGPT moment” for robotics. Collaborations and Future Visions: Licensing as the Key to Dominance Meta’s vision extends to creating a “Metabot” platform, as detailed in a WebProNews piece from September 2025, where the company plans to license AI to power humanoids by 2030. This mirrors Android’s model, fostering an ecosystem where Meta innovates on software while partners manage mechanics. Recent X posts from users like VraserX and Global Trends X amplify this buzz, with Bosworth confirming the multi-billion-dollar commitment and a star-studded team of robotics experts. Looking ahead, Meta’s integrations could transform industries. Standard Bots’ blog from September 2025 outlines humanoid types and prices, suggesting costs could drop as AI improves efficiency. Yet, as CNBC explored in mid-September 2025, the industry awaits its breakthrough moment for widespread adoption, with Meta potentially catalyzing it through open-source AI. Economic Implications and Ethical Considerations in Robotics Economically, this could reshape labor markets. The New York Times reported just days ago that China leads in factory robots, outpacing the world combined, but Meta’s global licensing could level the playing field for Western firms. Bain & Company’s 2025 technology report urges industries to assess humanoid deployment, from manufacturing to healthcare, where AI-driven bots could handle repetitive tasks. Ethically, questions arise about job displacement and safety. While Meta emphasizes assistance in physical tasks, critics worry about over-reliance on AI. Interesting Engineering’s recent piece on Tesla’s Optimus highlights progress in demos but lags in practical use, a cautionary tale for Meta. Still, with advancements like KAIST’s moonwalking robot from TechXplore in September 2025, the tech is maturing rapidly. Meta’s Edge: Leveraging Data and Open-Source Power Meta’s strength lies in its data trove from social platforms, fueling AI training. The company’s Ego-Exo4D project, as mentioned in X posts from AI at Meta, provides datasets for human-robot interaction, potentially giving Metabot an edge in natural movements. Partnerships with firms like Unitree, noted in February 2025 X updates from Andrew Curran, could lead to prototypes soon. As the current date marks late September 2025, Meta’s humanoid ambitions are crystallizing. By focusing on software, the company avoids the pitfalls that have plagued hardware ventures, positioning itself as the indispensable “backbone” Huang referenced. If successful, Meta could redefine not just social connectivity, but physical assistance in daily life, blending its AI heritage with robotic frontiers. Subscribe for Updates News and insights for social media leaders, marketers and decision makers. 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	Google DeepMind’s new AI models help robots perform physical tasks, …	https://www.theverge.com/news/628021/go…	1	Dec 29, 2025 16:00	active
Google DeepMind’s new AI models help robots perform physical tasks, even without training \| The Verge URL: https://www.theverge.com/news/628021/google-deepmind-gemini-robotics-ai-models Description: Google DeepMind has revealed two new AI models designed to help robots perform more tasks, even if they’ve never been trained on them. Content: Posts from this topic will be added to your daily email digest and your homepage feed. See All News Posts from this topic will be added to your daily email digest and your homepage feed. See All AI Posts from this topic will be added to your daily email digest and your homepage feed. See All Tech Gemini Robotics also makes robots more dexterous, allowing them to perform more precise tasks, like folding a piece of paper. Gemini Robotics also makes robots more dexterous, allowing them to perform more precise tasks, like folding a piece of paper. Posts from this author will be added to your daily email digest and your homepage feed. See All by Emma Roth Posts from this author will be added to your daily email digest and your homepage feed. See All by Emma Roth Google DeepMind is launching two new AI models designed to help robots “perform a wider range of real-world tasks than ever before.” The first, called Gemini Robotics, is a vision-language-action model capable of understanding new situations, even if it hasn’t been trained on them. Gemini Robotics is built on Gemini 2.0, the latest version of Google’s flagship AI model. During a press briefing, Carolina Parada, the senior director and head of robotics at Google DeepMind, said Gemini Robotics “draws from Gemini’s multimodal world understanding and transfers it to the real world by adding physical actions as a new modality.” The new model makes advancements in three key areas that Google DeepMind says are essential to building helpful robots: generality, interactivity, and dexterity. In addition to the ability to generalize new scenarios, Gemini Robotics is better at interacting with people and their environment. It’s also capable of performing more precise physical tasks, such as folding a piece of paper or removing a bottle cap. “While we have made progress in each one of these areas individually in the past with general robotics, we’re bringing [drastically] increasing performance in all three areas with a single model,” Parada said. “This enables us to build robots that are more capable, that are more responsive and that are more robust to changes in their environment.” Google DeepMind is also launching Gemini Robotics-ER (or embodied reasoning), which the company describes as an advanced visual language model that can “understand our complex and dynamic world.” As Parada explains, when you’re packing a lunchbox and have items on a table in front of you, you’d need to know where everything is, as well as how to open the lunchbox, how to grasp the items, and where to place them. That’s the kind of reasoning Gemini Robotics-ER is expected to do. It’s designed for roboticists to connect with existing low-level controllers — the system that controls a robot’s movements — allowing them to enable new capabilities powered by Gemini Robotics-ER. In terms of safety, Google DeepMind researcher Vikas Sindhwani told reporters that the company is developing a “layered-approach,” adding that Gemini Robotics-ER models “are trained to evaluate whether or not a potential action is safe to perform in a given scenario.” The company is also releasing new benchmarks and frameworks to help further safety research in the AI industry. Last year, Google DeepMind introduced its “Robot Constitution,” a set of Isaac Asimov-inspired rules for its robots to follow. Google DeepMind is working with Apptronik to “build the next generation of humanoid robots.” It’s also giving “trusted testers” access to its Gemini Robotics-ER model, including Agile Robots, Agility Robotics, Boston Dynamics, and Enchanted Tools. “We’re very focused on building the intelligence that is going to be able to understand the physical world and be able to act on that physical world,” Parada said. “We’re very excited to basically leverage this across multiple embodiments and many applications for us.” Posts from this author will be added to your daily email digest and your homepage feed. See All by Emma Roth Posts from this topic will be added to your daily email digest and your homepage feed. See All AI Posts from this topic will be added to your daily email digest and your homepage feed. See All Google Posts from this topic will be added to your daily email digest and your homepage feed. See All News Posts from this topic will be added to your daily email digest and your homepage feed. See All Robot Posts from this topic will be added to your daily email digest and your homepage feed. See All Tech A free daily digest of the news that matters most. This is the title for the native ad This is the title for the native ad © 2025 Vox Media, LLC. All Rights Reserved Images (1):
	Robots set to move beyond factory as AI advances - …	https://japantoday.com/category/tech/ro…	1	Dec 29, 2025 16:00	active
Robots set to move beyond factory as AI advances - Japan Today URL: https://japantoday.com/category/tech/robots-set-to-move-beyond-factory-as-ai-advances Description: Today's robots perform safety checks at industrial plants, conduct quality control in manufacturing, and are even starting to keep hospital patients company. But soon -- perhaps very soon -- these increasingly humanlike machines will handle more sophisticated tasks, freeing up people while raising complex questions about the roles of artificial… Content: JapanToday Sotokanda S Bldg. 4F 5-2-1 Sotokanda Chiyoda-ku Tokyo 101-0021 Japan Tel: +81 3 5829 5900 Fax: +81 3 5829 5919 Email: editor@japantoday.com ©2025 GPlusMedia Inc. The requested article has expired, and is no longer available. Any related articles, and user comments are shown below. Learn how to buy a home in Japan, including market trends, property buying procedures, and financing. The webinar will be held on January 16, 2026, from 6PM to 7PM (Japan Standard Time). Click Here Fukui is a coastal prefecture easily accessible from Tokyo; away from crowds and tourists, but with plenty to do, see and taste. One can see the beginnings of a robot uprising in this report. It reads like the start of a science fiction novel in which the robots are assigned to all the subservient positions in society. That works, until the AI develops to point of self-awareness. Brain the size of a planet, and opening doors? That won't be accepted for long. Use your Facebook account to login or register with JapanToday. By doing so, you will also receive an email inviting you to receive our news alerts. Learn how to buy a home in Japan, including market trends, property buying procedures, and financing. The webinar will be held on January 16, 2026, from 6PM to 7PM (Japan Standard Time). Click Here TSUYAHIME is cherished by the people of Japan for its delicious taste, clear white color, gloss, grain size, sweetness, subtle flavor, and aroma. A mix of what's trending on our other sites GaijinPot Blog Images (1):
	Physical AI in Motion: Building Robots That Perceive and Decide	https://medium.com/@senkaan.itu/physica…	0	Dec 29, 2025 16:00	active
Physical AI in Motion: Building Robots That Perceive and Decide URL: https://medium.com/@senkaan.itu/physical-ai-in-motion-building-robots-that-perceive-and-decide-f6208ef97652 Description: Physical AI in Motion: Building Robots That Perceive and Decide We are entering a new era of automation – one where machines no longer just move but think. As... Content:
	Scary AI-powered swarm robots team up to build cars faster …	https://www.foxnews.com/tech/scary-ai-p…	1	Dec 29, 2025 16:00	active
Scary AI-powered swarm robots team up to build cars faster than ever \| Fox News URL: https://www.foxnews.com/tech/scary-ai-powered-swarm-robots-team-up-build-cars-faster-than-ever Description: UBTech and Zeekr unite with AI robot swarms to make car manufacturing faster and smarter. Tech expert Kurt “CyberGuy" Knutsson explains how the process works. Content: This material may not be published, broadcast, rewritten, or redistributed. ©2025 FOX News Network, LLC. All rights reserved. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset. Powered and implemented by FactSet Digital Solutions. Legal Statement. Mutual Fund and ETF data provided by Refinitiv Lipper. UBTech and Zeekr unite with AI robot swarms to make car manufacturing faster and smarter. Tech expert Kurt Knutsson explains how the process works. The automotive industry is undergoing a seismic shift driven by the integration of AI-powered humanoid robots into production lines. UBTech Robotics, in collaboration with Zeekr, has pioneered a groundbreaking initiative where swarm robots work together to build cars faster and more efficiently than ever before. But is this technological advancement a leap toward innovation or a step closer to human replacement? Stay protected & informed! Get security alerts & expert tech tips – sign up for Kurt’s The CyberGuy Report now. UBTech's Walker S1 robots operating in Zeekr's 5G-enabled smart factory (UBTech Robotics) (Kurt "CyberGuy" Knutsson) Swarm Intelligence, inspired by collective behaviors in nature, is now being applied to robotics, enabling multiple humanoid robots to collaborate seamlessly on complex tasks. UBTech's Walker S1 robots are at the forefront of this revolution, operating in Zeekr's 5G-enabled smart factory. These robots are not just individual agents but part of a networked system that communicates and works in unison. UBTech's Walker S1 robots operating in Zeekr's 5G-enabled smart factory (UBTech Robotics) (Kurt "CyberGuy" Knutsson) CREEPY HUMANOID ROBOT MOVES USING 1,000 EERIE ARTIFICIAL MUSCLES BrainNet framework: UBTech’s proprietary BrainNet software links cloud-based and on-device intelligence to form a "super brain" for high-level decision-making and a "sub-brain" for localized control. Multimodal reasoning model: This AI engine allows robots to analyze, schedule and coordinate tasks autonomously, adapting to dynamic industrial environments. Collaborative capabilities: From sorting and handling heavy loads to precision assembly, these robots excel in tasks requiring dexterity and real-time decision-making. MALWARE STEALS BANK CARDS AND PASSWORDS FROM MILLIONS OF DEVICES UBTech's Walker S1 robots operating in Zeekr's 5G-enabled smart factory (UBTech Robotics) (Kurt "CyberGuy" Knutsson) CHINESE HUMANOID ROBOT LANDS WORLD'S FIRST FRONT FLIP These AI-powered robots are revolutionizing car manufacturing in several key areas. Let's take a closer look at how they're changing the game. Using advanced vision-based perception and hybrid decision-making systems, Walker S1 robots optimize sorting tasks by dynamically tracking targets and sharing intelligence across the swarm. Robots face challenges like uneven load distribution and complex trajectories. UBTech's joint planning system ensures stability and efficiency by enabling robots to adjust posture and force dynamically. In delicate tasks like handling deformable materials, Walker S1 robots utilize tactile sensing and adaptive control to ensure precision without damaging components. These capabilities have already been deployed in Zeekr’s factory for tasks ranging from quality inspection to vehicle assembly, showcasing unparalleled efficiency and accuracy. UBTech's Walker S1 robots operating in Zeekr's 5G-enabled smart factory (UBTech Robotics) (Kurt "CyberGuy" Knutsson) CHINA LAUNCHES FACILITY TO TRAIN 100-PLUS HUMANOID ROBOTS SIMULTANEOUSLY Swarm Intelligence is not just limited to automotive manufacturing. Its applications span logistics, healthcare, agriculture and more. By decentralizing decision-making and optimizing resource allocation, swarm systems promise increased scalability and adaptability across industries. UBTech's Walker S1 robots operating in Zeekr's 5G-enabled smart factory (UBTech Robotics) (Kurt "CyberGuy" Knutsson) While the integration of humanoid robots offers numerous benefits, such as addressing labor shortages and enhancing production efficiency, it also raises concerns about job displacement. The question remains: How do we balance technological advancement with societal impact? Experts argue that these innovations could complement human workers rather than replace them entirely. Robots can take over repetitive or hazardous tasks, allowing humans to focus on more creative and strategic roles. However, careful planning is essential to ensure a constructive transition. SUBSCRIBE TO KURT’S YOUTUBE CHANNEL FOR QUICK VIDEO TIPS ON HOW TO WORK ALL OF YOUR TECH DEVICES UBTech's Walker S1 robots operating in Zeekr's 5G-enabled smart factory (UBTech Robotics) (Kurt "CyberGuy" Knutsson) The automotive industry is really changing, with AI-powered robots taking center stage. UBTech and Zeekr are showing us how these robots can work together to make manufacturing faster and smarter. But as we get excited about these advancements, we also need to think about how they'll affect people's jobs. Let's hope we can find a way to make robots and humans work together seamlessly, rather than one replacing the other. As AI-powered robots increasingly take on complex tasks in car manufacturing, do you think the benefits of efficiency and precision outweigh the potential risks of job displacement, or are we trading human ingenuity for machine speed? Let us know by writing us at Cyberguy.com/Contact. For more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/Newsletter. Alert: Malware steals bank cards and passwords from millions of devices. Ask Kurt a question or let us know what stories you'd like us to cover. Follow Kurt on his social channels: Answers to the most-asked CyberGuy questions: New from Kurt: Copyright 2025 CyberGuy.com. All rights reserved. Kurt "CyberGuy" Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on "FOX & Friends." Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com. Get a daily look at what’s developing in science and technology throughout the world. Subscribed You've successfully subscribed to this newsletter! This material may not be published, broadcast, rewritten, or redistributed. ©2025 FOX News Network, LLC. All rights reserved. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset. Powered and implemented by FactSet Digital Solutions. Legal Statement. Mutual Fund and ETF data provided by Refinitiv Lipper. Images (1):
	How AI Powerhouse Nvidia Validates Humanoid Robots With New Initiative	https://www.investors.com/news/technolo…	0	Dec 29, 2025 16:00	active
How AI Powerhouse Nvidia Validates Humanoid Robots With New Initiative URL: https://www.investors.com/news/technology/humanoid-robots-nvidia-agility-robotics-figure-apptronik/ Description: Humanoid robots leaped from a curiosity to the next big thing after Nvidia Chief Executive Jensen Huang touted the emerging technology. Content:
	ROSOrin: A Multimodal ROS 2 Platform for Embodied AI - …	https://www.hackster.io/HiwonderRobot/r…	1	Dec 29, 2025 16:00	active
ROSOrin: A Multimodal ROS 2 Platform for Embodied AI - Hackster.io URL: https://www.hackster.io/HiwonderRobot/rosorin-a-multimodal-ros-2-platform-for-embodied-ai-580605 Description: 1 robot, 3 drive types (Mecanum/Ackermann/Differential) and integrated multimodal AI for real embodied robotics & ROS 2 learning. Find this and other hardware projects on Hackster.io. Content: Add the following snippet to your HTML:<iframe frameborder='0' height='385' scrolling='no' src='https://www.hackster.io/HiwonderRobot/rosorin-a-multimodal-ros-2-platform-for-embodied-ai-580605/embed' width='350'></iframe> 1 robot, 3 drive types (Mecanum/Ackermann/Differential) and integrated multimodal AI for real embodied robotics & ROS 2 learning. Read up about this project on 1 robot, 3 drive types (Mecanum/Ackermann/Differential) and integrated multimodal AI for real embodied robotics & ROS 2 learning. The educational robotics landscape is rich with platforms, yet many often share similar form factors and incremental features, leaving a gap for a system designed for deep, comparative learning and advanced AI integration. The ROSOrin platform addresses this by introducing a foundational redesign at the hardware level, coupled with deeply integrated multimodal AI, creating a versatile tool for both education and advanced prototyping. The core innovation of ROSOrin is its patented, modular chassis. It physically reconfigures into three distinct drive systems: Mecanum (omni-wheel), Ackermann (car-like steering), and Differential drive. This isn't a simple accessory swap; it involves a fundamental rework of the mechanical structure and kinematic model, allowing direct comparison of navigation, control, and path-planning algorithms across different mobility paradigms on a single, consistent hardware set. This dramatically expands experimental scope while reducing the need for multiple specialized robots. Supporting this flexibility is a proprietary swing-arm suspension system that maintains consistent ground contact and weight distribution across all modes and surfaces. This design minimizes wheel slip, ensuring that encoder data fed to navigation stacks (like SLAM) is reliable, providing a stable physical foundation for algorithmic development. Beyond a agile body, ROSOrin is built to host multimodal Large Language Models (LLMs) fine-tuned for robotics, moving beyond demo-grade chat to enable robust task completion. ROSOrin integrates a suite of professional-grade sensors to support a wide robotics curriculum: ROSOrin is more than hardware; it's a supported learning pathway. It comes with extensive resources, including: By solving the "one-robot, one-purpose" limitation through mechanical reconfigurability and integrating serious AI capabilities directly into the ROS 2 workflow, ROSOrin establishes a new benchmark for educational and research platforms. It is designed for those who wish to move past introductory concepts and engage deeply with the comparative analysis of robotics fundamentals and the cutting edge of embodied AI. Hackster.io, an Avnet Community © 2025 Images (1):
	AI Robots Learn Touch and Vision to Handle Objects Like …	https://neurosciencenews.com/ai-robots-…	1	Dec 29, 2025 16:00	active
AI Robots Learn Touch and Vision to Handle Objects Like Humans - Neuroscience News URL: https://neurosciencenews.com/ai-robots-vision-touch-29659/ Description: A new breakthrough shows how robots can now integrate both sight and touch to handle objects with greater accuracy, similar to humans. Content: Summary: A new breakthrough shows how robots can now integrate both sight and touch to handle objects with greater accuracy, similar to humans. Researchers developed TactileAloha, a system that combines visual and tactile inputs, enabling robotic arms to adapt more flexibly to real-world tasks. Unlike vision-only systems, this approach allowed robots to manage challenging objects such as Velcro and zip ties, demonstrating human-like sensory judgment. The findings mark a major step toward developing physical AI that could help robots assist with everyday tasks like cooking, cleaning, and caregiving. Key Facts: Source: Tohoku University In everyday life, it’s a no-brainer for us to grab a cup of coffee from the table. We seamlessly combine multiple sensory inputs such as sight (seeing how far away the cup is) and touch (feeling when our hand makes contact) in real-time without even thinking about it. However, recreating this in artificial intelligence (AI) is not quite as easy. An international group of researchers created a new approach that integrates visual and tactile information to manipulate robotic arms, while adaptively responding to the environment. Compared to conventional vision-based methods, this approach achieved higher task success rates. These promising results represent a significant advancement in the field of multimodal physical AI. Details of their breakthrough were published in the journal IEEE Robotics and Automation Letters on July 2, 2025. Machine learning can be used to support artificial intelligence (AI) to learn human movement patterns, enabling robots to autonomously perform daily tasks such as cooking and cleaning. For example, ALOHA (A Low-cost Open-source Hardware System for Bimanual Teleoperation) is a system developed by Stanford University that enables the low-cost and versatile remote operation and learning of dual-arm robots. Both hardware and software are open source, so the research team was able to build upon this base. However, these systems mainly rely on visual information only. Therefore, they lack the same tactile judgements a human could make, such as distinguishing the texture of materials or the front and back sides of objects. For example, it can be easier to tell which is the front or back side of Velcro by simply touching it instead of discerning how it looks. Relying solely on vision without other input is an unfortunate weakness. “To overcome these limitations, we developed a system that also enables operational decisions based on the texture of target objects – which are difficult to judge from visual information alone,” explains Mitsuhiro Hayashibe, a professor at Tohoku University’s Graduate School of Engineering. “This achievement represents an important step toward realizing a multimodal physical AI that integrates and processes multiple senses such as vision, hearing, and touch – just like we do.” The new system was dubbed “TactileAloha.” They found that the robot could perform appropriate bimanual operations even in tasks where front-back differences and adhesiveness are crucial, such as with Velcro and zip ties. They found that by applying vision-tactile transformer technology, their Physical AI robot exhibited more flexible and adaptive control. The improved physical AI method was able to accurately manipulate objects, by combining multiple sensory inputs to form adaptive, responsive movements. There are nearly endless possible practical applications of these types of robots to lend a helping hand. Research contributions such as TactileAloha bring us one step closer to these robotic helpers becoming a seamless part of our everyday lives. The research group was comprised of members from Tohoku University’s Graduate School of Engineering and the Centre for Transformative Garment Production, Hong Kong Science Park, and the University of Hong Kong. Author: Public RelationsSource: Tohoku UniversityContact: Public Relations – Tohoku UniversityImage: The image is credited to Neuroscience News Original Research: Open access.“TactileAloha: Learning Bimanual Manipulation with Tactile Sensing” by Mitsuhiro Hayashibe et al. IEEE Robotics and Automation Letters Abstract TactileAloha: Learning Bimanual Manipulation with Tactile Sensing Tactile texture is vital for robotic manipulation but challenging for camera vision-based observation. To address this, we propose TactileAloha, an integrated tactile-vision robotic system built upon Aloha, with a tactile sensor mounted on the gripper to capture fine-grained texture information and support real-time visualization during teleoperation, facilitating efficient data collection and manipulation. Using data collected from our integrated system, we encode tactile signals with a pre-trained ResNet and fuse them with visual and proprioceptive features. The combined observations are processed by a transformer-based policy with action chunking to predict future actions. We use a weighted loss function during training to emphasize near-future actions, and employ an improved temporal aggregation scheme at deployment to enhance action precision. Experimentally, we introduce two bimanual tasks: zip tie insertion and Velcro fastening, both requiring tactile sensing to perceive the object texture and align two object orientations by two hands. Our proposed method adaptively changes the generated manipulation sequence itself based on tactile sensing in a systematic manner. Results show that our system, leveraging tactile information, can handle texture-related tasks that camera vision-based methods fail to address. Moreover, our method achieves an average relative improvement of approximately 11.0% compared to state-of-the-art method with tactile input, demonstrating its performance. Does no one remember the movie iRobot ????? Hello people!!! Wake up!!!! What could possibly go wrong? I love AI when it works right, like my dishwasher. When we invent a dishwasher that does the job correctly. Then I’ll start thinking about AI. Comments are closed. Neuroscience News Sitemap Neuroscience Graduate and Undergraduate Programs Free Neuroscience MOOCs About Contact Us Privacy Policy Submit Neuroscience News Subscribe for Emails Neuroscience Research Psychology News Brain Cancer Research Alzheimer’s Disease Parkinson’s News Autism / ASD News Neurotechnology News Artificial Intelligence News Robotics News Neuroscience News is an online science magazine offering free to read research articles about neuroscience, neurology, psychology, artificial intelligence, neurotechnology, robotics, deep learning, neurosurgery, mental health and more. Images (1):
	Meta's Metabot: Licensing AI to Power Humanoid Robots by 2030	https://www.webpronews.com/metas-metabo…	1	Dec 29, 2025 16:00	active
Meta's Metabot: Licensing AI to Power Humanoid Robots by 2030 URL: https://www.webpronews.com/metas-metabot-licensing-ai-to-power-humanoid-robots-by-2030/ Description: Keywords Content: In the rapidly evolving world of artificial intelligence and robotics, Meta Platforms Inc. is making a bold pivot toward humanoid robots, positioning them as its next major technological frontier. During a recent interview at Meta’s headquarters, Chief Technology Officer Andrew Bosworth revealed that the company views humanoid robots as an “AR-size bet,” comparable in scale and ambition to its investments in augmented reality. This initiative, internally dubbed “Metabot,” underscores Meta’s strategy to extend its AI prowess beyond social media and virtual worlds into physical embodiments that could revolutionize daily life. Bosworth emphasized that Meta isn’t aiming to manufacture hardware at scale but rather to develop and license advanced software for humanoid robots. By leveraging its open-source Llama AI models, the company envisions creating a platform where third-party robot makers can integrate Meta’s technology, much like how Android powers diverse smartphones. This approach could democratize robotics, allowing Meta to focus on software innovation while partners handle the mechanical complexities. Scaling Ambitions Amid Industry Frenzy Recent reports highlight a surge in investments across the sector, with companies like Amazon and Tesla pouring resources into humanoid development. According to a February 2025 article in Reuters, Meta established a dedicated division within its Reality Labs unit to build AI-powered robots capable of assisting with physical tasks, such as household chores. The memo, viewed by Reuters, indicates early discussions with robotics firms like Figure and Unitree, signaling potential collaborations to accelerate deployment. This move comes amid a broader industry boom, where humanoid robots are transitioning from prototypes to pilot programs in homes and workplaces. A September 2025 piece in The Washington Post notes that investments from tech giants have spawned a new generation of these machines, driven by AI advancements like those in ChatGPT. Meta’s entry intensifies competition, particularly with rivals like Apple, which Bloomberg reported in February 2025 is also ramping up humanoid efforts, setting the stage for a high-stakes battle in this emerging field. Technical Challenges and Innovations Despite the enthusiasm, scaling humanoid robots presents formidable hurdles. As detailed in a September 2025 analysis by IEEE Spectrum, issues like battery life, safety protocols, and real-world adaptability remain barriers to widespread adoption. Meta is addressing these through innovative research, including touch-sensing technologies unveiled in late 2024. Posts on X from robotics enthusiasts, such as those highlighting Meta’s artificial fingertip sensors for tactile interaction, suggest the company is prioritizing multimodal AI to make robots more intuitive and human-like. Bosworth’s vision extends to integrating humanoid robots with Meta’s existing ecosystem, potentially linking them to AR glasses or social platforms for seamless user experiences. A recent X post from Techmeme summarized Bosworth’s comments in The Verge, where he described the software licensing model as key to avoiding hardware pitfalls that have plagued other ventures. This strategy aligns with Meta’s history of open-sourcing AI tools, fostering an ecosystem that could lower costs and spur innovation. Societal Implications and Market Projections Industry insiders are buzzing about the transformative potential. A June 2025 story from the World Economic Forum warns that while humanoid robots promise efficiency in sectors like healthcare and manufacturing, society must establish guardrails to mitigate disruptions, such as job displacement. Meta’s focus on household assistance could address labor shortages, with projections from a Bain & Company report in September 2025 indicating pilot stages evolving into waves of adoption by 2030, contingent on battery and ecosystem advancements. Competition from China adds urgency; a CNBC article from early September 2025 reported that Unitree Robotics is eyeing a $7 billion IPO valuation, fueled by its humanoid models. Meta’s collaborations, as mentioned in X posts from accounts like The Humanoid Hub, include integrating Llama models with partners’ hardware, potentially positioning the company as a software leader in a market forecasted to reach millions of units by 2035, per Anadolu Ajansı. Future Bets and Strategic Risks Meta’s humanoid push reflects a broader tech trend where AI meets physical robotics. A PR Newswire release via The Manila Times in September 2025, based on DIGITIMES research, predicts 2025 as the “first year of humanoid robots,” with hardware advancements determining rollout speed. Bosworth acknowledged in The Verge interview that hardware isn’t the bottleneck—software intelligence is, echoing Nvidia’s “physical AI” narrative. Yet, risks abound. Historical parallels to Meta’s metaverse investments, which faced skepticism, loom large. An X post from VraserX captured the sentiment, noting Zuckerberg’s billion-dollar bets shifting from VR to robots. For industry watchers, Meta’s success hinges on execution: licensing software could yield Android-like dominance, but failure might echo past overreaches. As one Georgia Tech collaboration shared on X demonstrates, using Meta’s Project Aria glasses to train robots via human data, the company is betting on data-driven learning to bridge the gap. In this high-stakes arena, Meta’s humanoid ambitions could redefine human-robot interaction, blending AI with physical presence in ways that extend far beyond today’s prototypes. With investments booming and partnerships forming, the coming years will test whether Metabot becomes a household name or another ambitious footnote in tech history. Subscribe for Updates News & updates for website marketing and advertising professionals. Help us improve our content by reporting any issues you find. Get the free daily newsletter read by decision makers Get our media kit Deliver your marketing message directly to decision makers. Images (1):
	AI Meets Nature: The Intelligent Robots Powering Industry 5.0	https://medium.com/@senkaan.itu/ai-meet…	0	Dec 29, 2025 16:00	active
AI Meets Nature: The Intelligent Robots Powering Industry 5.0 URL: https://medium.com/@senkaan.itu/ai-meets-nature-the-intelligent-robots-powering-industry-5-0-7f9a9f4e43e3 Description: AI Meets Nature: The Intelligent Robots Powering Industry 5.0 Industrial robotics is entering a pivotal transformation. The integration of artificial intelligen... Content:
	NVIDIA Showcases Jetson Thor Capable of Running Generative AI Robots	https://www.techjuice.pk/nvidia-showcas…	1	Dec 29, 2025 16:00	active
NVIDIA Showcases Jetson Thor Capable of Running Generative AI Robots URL: https://www.techjuice.pk/nvidia-showcases-jetson-thor-capable-of-running-generative-ai-robots/ Description: NVIDIA launches Jetson Thor, a next-gen robotics module delivering 7.5× more AI computing power for real-time AGI and humanoid robots. Content: NVIDIA has unveiled Jetson Thor, a groundbreaking “robot brain” set to redefine the future of physical AI. Available as both the Jetson AGX Thor developer kit and the production-ready Jetson T5000 module, this compact supercomputer is purpose-built for humanoid, industrial, and autonomous robots. At the heart of Jetson Thor is a Blackwell GPU combined with a 14-core Arm Neoverse-V3AE CPU and 128 GB of LPDDR5X RAM. Together, they deliver up to 2,070 FP4 TFLOPS of AI compute. Which is an astonishing 7.5× leap from its predecessor, Jetson Orin. Even with this performance jump, it maintains impressive efficiency, running within a 40–130 watt power envelope and achieving nearly three times better energy savings. What makes Thor a game-changer is its ability to run real-time generative reasoning on-device. It can process multimodal sensor data, make decisions on the fly, and handle multiple generative AI models simultaneously, all without relying on cloud connectivity. NVIDIA’s software ecosystem further enhances this capability: Isaac for robotics, Metropolis for vision, Holoscan for sensor fusion, and built-in support for large-scale models like GR00T, Llama, and Qwen. Major robotics players have already jumped on board. Agility Robotics is integrating Jetson Thor into its humanoid “Digit.” Meanwhile, Boston Dynamics is equipping Atlas with the same computing muscle. Companies like Amazon Robotics, Caterpillar, Meta, Medtronic, and Figure are also adopting the platform, while others such as John Deere and OpenAI are currently evaluating its potential. By enabling robots to reason, adapt, and act in real time without external dependencies, NVIDIA has opened the door to next-gen humanoids. Not only that, Thor has also opened gateways for advanced surgical systems, precision manufacturing, and immersive AI-driven agents. Abdul Wasay explores emerging trends across AI, cybersecurity, startups and social media platforms in a way anyone can easily follow. The National Database and Registration Authority (NADRA) has officially launched a new digital fingerprint verification system. This update comes through a collaboration with the Directorate. The Punjab government has officially empowered the Crime Control Department (CCD) to take strict action against online fraudsters. This decision aims to curb the rising. WhatsApp has rolled out changes to how its service behaves when users unpair an Apple Watch from an iPhone, addressing long standing complaints about message. Apple is moving toward the release of iOS 26.3, an update that is shaping up to be more consequential than a typical mid-cycle software refresh.. Premier Pakistan technology news website with special focus on startups, entrepreneurship and consumer products. © 2025 TechJuice.PK – All rights reserved. Images (1):
	Google's DeepMind says it will use AI models to power …	https://www.cnbc.com/2025/03/12/googles…	1	Dec 29, 2025 16:00	active
Google's DeepMind says it will use AI models to power physical robots URL: https://www.cnbc.com/2025/03/12/googles-deepmind-says-it-will-use-ai-models-to-power-physical-robots.html Description: Google is taking its DeepMind artificial intelligence technology models into the physical world to power robots. Content: In this article Google is bringing its DeepMind artificial intelligence technology models into the physical world to power robots. The company on Wednesday debuted two new AI models, Gemini Robotics and Gemini Robotics-ER (extended reasoning). They both run on Gemini 2.0, which Google calls its "most capable" AI to date. Gemini Robotics goes beyond outputs like text and images, where generative AI has thrived to date, and into physical action commands to control robots. Google said in a blog post that it will partner with Apptronik, a Texas-based robotics developer, to "build the next generation of humanoid robots with Gemini 2.0." Apptronik has work with Nvidia and NASA in the past. The company said last month that Google joined in its $350 million funding round. In demonstration videos, Google showed Apptronik robots, equipped with the new AI models, plugging something into a power strip, filling up a lunchbox, moving plastic vegetables and zipping up a bag, in response to spoken commands. The company didn't provide a timeline for when the technology will hit the market. "To be useful and helpful to people, AI models for robotics need three principal qualities," Google wrote in the post. "They have to be general, meaning they're able to adapt to different situations; they have to be interactive, meaning they can understand and respond quickly to instructions or changes in their environment; and they have to be dexterous, meaning they can do the kinds of things people generally can do with their hands and fingers, like carefully manipulate objects." Gemini Robotics-ER is designed specifically for roboticists to use as a foundation to train their own models. It's available to Apptronik as well as "trusted testers" including Agile Robots, Agility Robots, Boston Dynamics and Enchanted Tools. Google is far from alone in its pursuit of AI for robotics. In November, OpenAI invested in Physical Intelligence, a startup that focuses on "bringing general-purpose AI into the physical world" by developing large-scale AI models and algorithms to power robots, according to its website. The same of that investment announcement, OpenAI hired the former head of Meta's Orion augmented reality glasses initiative to lead the startup's robotics and consumer hardware efforts. Tesla has also moved into the fast-evolving humanoid robotics industry with the Optimus robot. Google CEO Sundar Pichai wrote in a post on X on Wednesday that the company sees "robotics as a helpful testing ground for translating AI advances in the physical world." Pichai said the robots will use Google's multimodal AI models to "make changes on the fly + adapt to their surroundings." WATCH: Elon Musk on the Optimus robot Got a confidential news tip? We want to hear from you. Sign up for free newsletters and get more CNBC delivered to your inbox Get this delivered to your inbox, and more info about our products and services. © 2025 Versant Media, LLC. All Rights Reserved. A Versant Media Company. Data is a real-time snapshot Data is delayed at least 15 minutes. Global Business and Financial News, Stock Quotes, and Market Data and Analysis. Data also provided by Images (1):*
	Multimodal Learning: The Future of Human-Like AI	https://medium.com/@suhaniagarwal3105/m…	0	Dec 29, 2025 16:00	active
Multimodal Learning: The Future of Human-Like AI URL: https://medium.com/@suhaniagarwal3105/multimodal-learning-the-future-of-human-like-ai-da11d3289826 Description: Multimodal Learning: The Future of Human-Like AI Artificial intelligence is developing at a breakneck speed, not just in computational power but also in the way... Content:
	Google DeepMind's Gemini AI Transforms Robotics with Multimodal Capabilities	https://www.webpronews.com/google-deepm…	1	Dec 29, 2025 16:00	active
Google DeepMind's Gemini AI Transforms Robotics with Multimodal Capabilities URL: https://www.webpronews.com/google-deepminds-gemini-ai-transforms-robotics-with-multimodal-capabilities/ Description: Keywords Content: In the rapidly evolving field of artificial intelligence, Google DeepMind’s latest advancements with its Gemini model are pushing boundaries in robotics and web search integration, signaling a potential shift toward more autonomous systems. Announced earlier this year, Gemini Robotics leverages the multimodal capabilities of Gemini 2.0 to enable robots to interpret visual data, process natural language instructions, and execute physical actions with unprecedented fluidity. This isn’t just about programming robots to follow scripts; it’s about creating machines that can adapt in real-time to unpredictable environments, much like a human would improvise on the job. Engineers at DeepMind have demonstrated how Gemini Robotics can handle tasks ranging from sorting objects in cluttered spaces to navigating dynamic obstacles, all while incorporating feedback from web-based data. For instance, a robot equipped with this AI could query online resources mid-task to refine its approach, such as looking up optimal gripping techniques for an unfamiliar item. This fusion of AI reasoning with physical embodiment draws from foundational research in vision-language-action models, allowing for what DeepMind describes as “embodied reasoning” – the ability to think and act in the physical world without exhaustive pre-training. Unlocking New Frontiers in Robotic Autonomy The implications for industries like manufacturing and logistics are profound, where efficiency hinges on adaptability. According to a report from InfoQ, Gemini Robotics integrates seamlessly with existing hardware, reducing the need for specialized datasets and enabling faster deployment. This on-device processing minimizes latency, a critical factor in scenarios requiring split-second decisions, such as automated warehouses or surgical assistance tools. Moreover, DeepMind’s push into web search enhancements via Gemini adds another layer of sophistication. The model now supports agentic browsing, where AI can autonomously navigate the internet to gather and synthesize information, feeding it back into robotic operations. This was highlighted in a recent DeepMind blog post, which detailed how on-device versions of Gemini Robotics operate without constant cloud connectivity, enhancing privacy and speed for edge computing applications. Bridging Digital Intelligence with Physical Execution Critics and insiders alike are watching how these developments address longstanding challenges in AI safety and reliability. A piece in The Guardian noted Gemini 2.5’s breakthrough in solving complex programming problems that baffled human experts, suggesting similar prowess could translate to robotics troubleshooting. Yet, questions remain about scalability – can these models handle the variability of real-world chaos without errors that could lead to costly failures? DeepMind’s strategy also involves open-sourcing certain components to foster collaboration, as evidenced by an arXiv paper on Gemini Robotics, which outlines fine-tuning techniques for long-horizon tasks like intricate assembly lines. This approach not only accelerates innovation but also invites scrutiny from the broader tech community, ensuring robustness through collective input. Industry Impacts and Future Trajectories Looking ahead to the latter half of 2025, integrations with sectors like healthcare and transportation could redefine operational norms. For example, robots powered by Gemini might assist in elder care by cross-referencing medical databases in real-time, adapting to patient needs dynamically. Coverage from The Verge emphasizes how these models enable tasks without prior training, a game-changer for rapid prototyping in R&D labs. However, ethical considerations loom large, with calls for regulatory frameworks to govern AI’s physical interventions. DeepMind’s commitment to safe AI, as stated on their official site, includes built-in safeguards against misuse, but industry watchers argue for more transparency in algorithmic decision-making. As Gemini evolves, its blend of web search prowess and robotic control could usher in an era of truly intelligent machines, transforming how we interact with technology in everyday life. Challenges Ahead in AI-Robotics Integration Despite the hype, hurdles like energy consumption and hardware compatibility persist. On-device models, while efficient, demand powerful processors that not all robots possess, potentially limiting adoption in budget-constrained fields. A TechCrunch analysis points out that while Gemini Robotics excels in controlled demos, real-world variability – from lighting changes to unexpected human interference – tests its limits. Ultimately, Google DeepMind’s innovations with Gemini are setting a high bar, compelling competitors to accelerate their own efforts in multimodal AI. By weaving web intelligence into physical actions, these advancements promise to make robots not just tools, but intelligent partners in human endeavors, with 2025 poised as a pivotal year for deployment at scale. Subscribe for Updates News, updates and trends in generative AI for the Tech and AI leaders and architects. Help us improve our content by reporting any issues you find. Get the free daily newsletter read by decision makers Get our media kit Deliver your marketing message directly to decision makers. Images (1):
	Welcome to Skynet: Google Unveils AI Models to Power Physical …	https://www.breitbart.com/tech/2025/03/…	1	Dec 29, 2025 16:00	active
Welcome to Skynet: Google Unveils AI Models to Power Physical Robots URL: https://www.breitbart.com/tech/2025/03/14/welcome-to-skynet-google-unveils-ai-models-to-power-physical-robots/ Description: Google DeepMind has introduced two new AI models designed to bring artificial intelligence into the physical world by powering robots. Google is not the only company pursuing this goal at top speed — OpenAI and Tesla are also designing robots controlled entirely by AI as well. Content: Google DeepMind has introduced two new AI models designed to bring artificial intelligence into the physical world by powering robots. Google is not the only company pursuing this goal at top speed — OpenAI and Tesla are also designing robots controlled entirely by AI as well. CNBC reports that Google’s DeepMind has unveiled two new AI models, Gemini Robotics and Gemini Robotics-ER (extended reasoning), which are set to revolutionize the way robots interact with the physical world. These models, running on Google’s Gemini 2.0, are designed to adapt to different situations, understand and respond quickly to instructions, and manipulate objects with dexterity. The company’s goal is to have autonomous robots taking orders from AI without human control. Google has announced a partnership with Apptronik, a Texas-based robotics developer, to build the next generation of humanoid robots powered by Gemini 2.0. Apptronik, known for its work with Nvidia and NASA, recently received funding from Google in a $350 million round. Demonstration videos released by Google showcase Apptronik robots equipped with the new AI models performing various tasks, such as plugging items into power strips, filling lunchboxes, moving plastic vegetables, and zipping up bags, all in response to spoken commands. While no timeline has been provided for the technology’s market release, the videos offer a glimpse into the potential applications of these AI-powered robots. Google is not the only company pursuing AI for robotics. OpenAI has recently invested in Physical Intelligence, a startup focused on bringing general-purpose AI into the physical world by developing large-scale AI models and algorithms for robots. Additionally, Tesla has entered the humanoid robotics industry with its Optimus robot. Google CEO Sundar Pichai views robotics as a valuable testing ground for translating AI advances into the physical world. He stated that the robots would use Google’s multimodal AI models to adapt to their surroundings and make real-time changes. Read more at CNBC here. Lucas Nolan is a reporter for Breitbart News covering issues of free speech and online censorship. Please let us know if you're having issues with commenting. Copyright © 2025 Breitbart Images (1):
	Heavy Industrial Manufacturing Robots	https://www.trendhunter.com/trends/heav…	0	Dec 29, 2025 16:00	active
Heavy Industrial Manufacturing Robots URL: https://www.trendhunter.com/trends/heavy-industrial-manufacturing Description: heavy industrial manufacturing - At the 2025 World Robot Conference, Zoomlion demonstrated significant progress in integrating robotics with heavy industrial ma... Content:
	Integrating Multimodal AI on TurboPi - Hackster.io	https://www.hackster.io/HiwonderRobot/i…	1	Dec 29, 2025 16:00	active
Integrating Multimodal AI on TurboPi - Hackster.io URL: https://www.hackster.io/HiwonderRobot/integrating-multimodal-ai-on-turbopi-765b2c Description: Turn your TurboPi into a thinking robot. Add multimodal AI for natural language commands, scene understanding, and smart task planning. Find this and other hardware projects on Hackster.io. Content: Add the following snippet to your HTML:<iframe frameborder='0' height='385' scrolling='no' src='https://www.hackster.io/HiwonderRobot/integrating-multimodal-ai-on-turbopi-765b2c/embed' width='350'></iframe> Turn your TurboPi into a thinking robot. Add multimodal AI for natural language commands, scene understanding, and smart task planning. Read up about this project on Turn your TurboPi into a thinking robot. Add multimodal AI for natural language commands, scene understanding, and smart task planning. For many in the robotics community, the journey often begins with wheeled rovers that follow lines or avoid obstacles based on hard-coded logic. While foundational, these tasks can sometimes feel limiting, disconnected from the current frontier of AI where models understand language, vision, and context together. The upgraded TurboPi platform bridges this gap by integrating multimodal Large Language Models (LLMs), transforming it from a task-specific rover into a flexible platform for exploring embodied AI. Traditional educational robots operate within a fixed boundary defined by their pre-programmed functions. The new capabilities of the TurboPi, powered by its Raspberry Pi 5 and dedicated AI voice module, change this paradigm. By connecting to cloud-based multimodal models (such as Qwen or DeepSeek), the TurboPi gains access to a vast knowledge base and reasoning engine. This allows it to: Consider this scenario: You give the TurboPi a voice command: "Follow the black line and patrol my desk. Tell me if you see a blue cube." This single command triggers a coordinated sequence across multiple subsystems, demonstrating the integrated AI pipeline: 1. Speech Understanding & Task Decomposition The onboard audio module captures your speech and converts it to text. A cloud-based LLM then parses the instruction. It identifies the core intent and logically breaks it down into sub-tasks: (A) Engage line-following mode, (B) Activate real-time visual search for a "blue cube" while moving, and (C) Formulate a verbal report. 2. Precise Navigation & Mobility The "follow the black line" directive activates the rover's core robotics functions. Its four-channel line sensor array guides the chassis, while a PID control algorithm dynamically adjusts wheel speeds for precise path tracking. The Mecanum wheel base allows for smooth movement along the path. 3. Dynamic Visual Search & Scene Understanding While navigating, the 2-DOF pan-tilt camera actively scans the desk surface. A vision model processes the video stream in real time. It isn't just looking for a blue pixel cluster; it's performing object detection and scene understanding, differentiating between books, keyboards, and mugs to correctly identify the target "blue cube." 4. Decision-Making & Voice Response Upon identifying the target, the vision system's output is sent back to the LLM. The model synthesizes the information and generates a natural-language response (e.g., "I found a blue cube on your desk."), which is then spoken aloud through the system's speaker via a text-to-speech engine. This seamless integration of perception, reasoning, and action showcases the TurboPi's potential as a hands-on platform for embodied AI—where intelligence is grounded in a physical body that interacts with the real world. It demonstrates how advanced AI can move beyond the cloud and into tangible, interactive devices that developers can program and modify. Potential projects enabled by this upgrade include: This new functionality is supported by a suite of learning resources. TurboPi Tutorials cover the full stack, from setting up API access for cloud-based models and handling local speech processing to writing Python scripts that orchestrate the workflow between sensors, AI services, and motor controls. The open-source code base allows developers to see how the components connect and to build their own custom integrations. The integration of multimodal LLMs with the capable, sensor-rich TurboPi hardware creates a unique entry point into the next wave of robotics. It allows developers, students, and hobbyists to move past isolated vision or navigation tasks and begin prototyping robots that can listen, see, reason, and act in an integrated way—all on an accessible and hackable Raspberry Pi-based platform. Hackster.io, an Avnet Community © 2025 Images (1):
	China already ahead of U.S. in humanoid robot race, analysts …	https://www.cnbc.com/2025/03/28/china-a…	1	Dec 29, 2025 08:00	active
China already ahead of U.S. in humanoid robot race, analysts say URL: https://www.cnbc.com/2025/03/28/china-already-ahead-of-us-in-humanoid-robot-race-analysts-say-.html Description: American tech giants are increasingly focusing on the humanoid robotics space, but analysts say they're at risk of falling behind China. Content: In this article American tech companies are racing to usher in the development of humanoid robots, stressing their importance to the future economy. But analysts warn they are already at risk of losing out to competitors in China. So-called humanoid robots — artificial intelligence-powered machines designed to resemble humans in appearance and movement — are expected to provide a range of use cases, such as filling industrial and service sector jobs. Investor excitement surrounding the robots has been mounting amid increased mentions from tech leaders like Nvidia's Jensen Huang, who ushered in "the age of generalist robotics" earlier this month as he announced a new portfolio of technologies for humanoid robot development. In the manufacturing of the robots themselves, Tesla's humanoid robot project, Optimus, appears to be leading in the U.S., with CEO Elon Musk announcing plans to produce about 5,000 units this year. While Musk's ambitious plans could give it a leg up on U.S. competitors like Apptronik and Boston Dynamics that are yet to hit the mass market, he will face stiff competition from a familiar source: China. Hangzhou-based Unitree Robotics last month briefly sold two humanoid robots to consumers on the e-commerce platform JD.com, as per local media. Meanwhile, Shanghai-based robotics startup Agibot, also known as Zhiyuan Robotics, has matched Optimus's goal to produce 5,000 robots this year, according to the South China Morning Post. As Chinese electric vehicle companies like BYD begin outpacing Tesla's growth and undercutting its prices, experts say a similar dynamic could play out in humanoid robotics. "China has the potential to replicate its disruptive impact from the EV industry in the humanoid space. However, this time the disruption could extend far beyond a single industry, potentially transforming the labor force itself," said Reyk Knuhtsen, analyst at SemiAnalysis, an independent research and analysis company specializing in semiconductors and AI. In a research note in February, Morgan Stanley estimated that current building costs of humanoid robots could range from $10,000 to $300,000 per unit, given different configurations and downstream application requirements. However, Chinese companies are already undercutting U.S. competitors in terms of price thanks to superior economies of scale and manufacturing capabilities, according to Knuhtsen. For example, Unitree released its G1 humanoid robot for consumers in May with a starting price of $16,000. In comparison, Morgan Stanley estimates that the selling cost of Tesla's Optimus Gen2 humanoid robot could be around $20,000, but only if the company is able to scale, shorten its research and development cycle, and use cost-effective components from China. Unitree made a major splash in the robot's space in January when 16 of its highest-performing H1 humanoid robots joined a group of human dancers to celebrate the Lunar New Year in a demonstration broadcast on national television. But there are signs that China's progress in robots go much further. Morgan Stanley's February research note found that the country has led the world in patent filings mentioning "humanoid" over the past five years, with 5,688 patents compared with 1,483 from the United States. Large players such as Xiaomi and EV makers, such as BYD, Chery, and Xpeng, are also involved in the humanoid robot space. "Our research suggests China continues to show the most impressive progress in humanoid robotics where startups are benefitting from established supply chains, local adoption opportunities, and strong degrees of national government support," the note said. Beijing has increasingly backed the space, with government departments promoting their development. In 2023, the Ministry of Industry and Information Technology issued guidelines for the space, calling for "production at scale" by 2025. According to Ming Hsun Lee, head of Greater China automotive and industrials research at BofA Global Research, China sees humanoid robots as an important industry because of their potential to mitigate looming labor shortages. "I think in the short-term, three to four years, we will see humanoid robots initially applied in production lines to compare some workers, and in the midterm, we will see them gradually spread into the service industry," he said. Musk predicted that he'd have over 1,000, or a few thousand, Optimus robots working at Tesla in 2025. According to Chinese state media, EV makers like BYD and Geely have already deployed some of Unitree's humanoid robots at their factories. Lee said that increased adoption will coincide with a "very fast" decline in component costs, also noting that China owns around 70% of the supply chain for these components. According to a report by SemiAnalysis earlier this month, the Unitree G1 — "the only viable humanoid robot on the market" — is entirely decoupled from American components. The report warns that China is the only country positioned to reap the economic awards of intelligent robotics systems, including humanoid robots, which "poses an existential threat to the US as it is outcompeted in all capacities." "To catch up, U.S. players must rapidly mobilize a strong manufacturing and industrial base, whether domestically or through allied nations ... For Tesla and similar firms, it may be wise to begin reshoring or 'friendshoring' their component sourcing and manufacturing to reduce reliance on China," said SemiAnalysis' Knuhtsen. Bank of America analysts predicted in a research note this month that the deployment of humanoid robots will accelerate rapidly, aided by the development of AI, with global annual sales reaching 1 million units by 2030 and 3 billion humanoid robots in operation by 2060. Got a confidential news tip? We want to hear from you. Sign up for free newsletters and get more CNBC delivered to your inbox Get this delivered to your inbox, and more info about our products and services. © 2025 Versant Media, LLC. All Rights Reserved. A Versant Media Company. Data is a real-time snapshot Data is delayed at least 15 minutes. Global Business and Financial News, Stock Quotes, and Market Data and Analysis. Data also provided by Images (1):*
	High-tech robot sector revving up carmakers	http://www.ecns.cn/business/2025-02-26/…	1	Dec 29, 2025 08:00	active
High-tech robot sector revving up carmakers URL: http://www.ecns.cn/business/2025-02-26/detail-ihepcskv6106393.shtml Content: Entry into emerging industry stems from many overlapping applications Xpeng's robot on display during an expo in Guangzhou, Guangdong province. ï¼Photo provided to China Dailyï¼ Chinese automakers are accelerating their forays into the burgeoning humanoid robot sector as a means of strategic diversification, leveraging existing technological expertise and manufacturing capabilities in smart vehicles amid intense competition. Xiaomi, a high-profile relative newcomer in the smart electric vehicle sector, said on Sunday that it is working on preparing its robot, CyberOne, to work on its vehicle production lines. The consumer electronics giant unveiled the humanoid robot back in 2022. GAC, a Chinese partner of Toyota and Honda, unveiled its humanoid robot GoMate in December, which stands and moves on wheels. The State-owned automaker said it will start mass production of the robot's components â developed in house â in 2025, and the robots are expected to work in its vehicle assembly plants from 2026. Li Xiang, founder and CEO of Li Auto, the first Chinese NEV startup to be profitable, said in a December interview that the company "will definitely do humanoid robots". Analysts said automakers' entry into robotics stems from overlapping technologies between smart EVs and humanoid machines. Also, their bulk purchases of components, many of which are from auto parts suppliers, give them cost advantages over smaller rivals. Autonomous driving systems, a battleground for automakers, have become a treasure trove for robotics, said Chen Meng, a Beijing-based independent auto analyst. "Sensors like lidar and cameras, AI algorithms for object recognition, and high-precision motors â all originally designed for vehicles â are now being repurposed to teach robots to 'see', 'think', and 'move'," said Chen. NEV startup Xpeng's robot â Iron â unveiled in November, will feature in-house developed chips. The robot has hands and arms that have 15 degrees of freedom, compared to Tesla chief Elon Musk's Optimus, which has 22 degrees of freedom. Also, entering the humanoid robot sector positions participating automakers at the forefront of a rapidly evolving industry, with potential applications across various areas, including healthcare, manufacturing and consumer services. That offers a new growth engine, which might prove to be more powerful over time than many can imagine, for automakers that are seeing profit declines amid white-hot competition. Musk has called Optimus a potential " $10 trillion business", dwarfing Tesla's auto revenue. Chinese firms are equally bullish. Xiaomi's CyberOne, which can work as a home assistant, aims to anchor its ecosystem of smart devices. In a Sina Weibo post, He Xiaopeng, CEO of Xpeng, wrote, "Robotics is a natural extension of our smart EV ecosystem." The total addressable market for humanoid robots worldwide is projected to reach $38 billion by 2035, up more than sixfold from a previous projection of $6 billion, Goldman Sachs Research analyst Jacqueline Du, head of China Industrial Technology research, wrote in a report. There are short-term, instant benefits for automakers as well, said Zhang Xiang, a fellow at the Research Center of Automobile Industry Innovation of the North China University of Technology. "It gives automakers such labels as 'innovation' and 'technology', which will help their appeal in the minds of potential car buyers and may help boost their performance in the stock market as well," said Zhang. Following a team of humanoid robots performing at the Spring Festival Gala in early February, a number of companies in the sector have been seeing their prices surge in China's stock market. Carmakers signing up to use DeepSeek AI Chinese carmakers catch up in vehicle quality Chinese carmakers go global in two-way drive Images (1):
	What will humanoid robots be used for in the future? …	https://www.citizen.co.za/lifestyle/317…	1	Dec 29, 2025 08:00	active
What will humanoid robots be used for in the future? \| The Citizen URL: https://www.citizen.co.za/lifestyle/3175680/humanoid-robots-xiamoi-cyberone/ Description: The humanoid robot war is already raging between the United States' Tesla and China's Xiaomi. The Chinese company unveiled their robots Content: Home » Lifestyle By ETX Daily Up 2 minute read 18 August 2022 03:44 pm Xiaomi’s CyberOne is currently one of the most advanced intelligent humanoid robot project. Photography Courtesy of Xiaomi© While waiting for other players to enter the fray, the humanoid robot war is already raging between the United States’ Tesla and China’s Xiaomi. From assembly line work to personal services, these robots could have very practical uses once they’re made operational. Whether the Tesla Optimus or the Xiaomi CyberOne, these robots are the size (between 1m70 and 1m80 or 5 ft 6 inches to 5 ft 9 inches) and the weight (about 50 kilos or 110 pounds) of an average human, and can walk and move like a person. The more elaborate of the two, Xiaomi AI, is also capable of perceiving space in 3D as well as recognizing individuals as well as their gestures, their expressions and their emotions. Artificial intelligence gives it the capability of interacting with humans, such as comforting someone who is unhappy. Meanwhile, Tesla’s Elon Musk has long spoken of his dream of grafting an artificial intelligence that surpasses human intelligence onto his robots. A first prototype of the Optimus robot is set to be revealed before the end of the year. NEW – China's #Xiaomi unveils "humanoid" #CyberOne robot.pic.twitter.com/gOt79LBKqY The potential of such robots seems nearly limitless. However, it’s within an industry setting that these robots will first need to demonstrate their worth. As Elon Musk himself announced, this type of robot would be perfect for alleviating humans of “repetitive, boring and dangerous tasks.” ALSO READ: Artificial intelligence refined for Africa’s benefit In the factory, they could work on a production line, carry heavy loads or screw in bolts. In everyday life, they could do errands like mowing the lawn or walking the dog. Once their operations have become more elaborate and “intelligent,” these humanoid robots could very well be used to assist elderly or dependent people. But to start with there’s more chance of seeing them on a production line than in a nursing home or in a regular home setting. Download our app Get the latest news and updates on Whatsapp The latest news directly in your inbox 2025 The Citizen. All Rights Reserved. Images (1):
	Meet Bumi! — The ‘world’s cheapest’ and ‘family-friendly’ child humanoid …	https://theindependent.sg/meet-bumi-the…	1	Dec 29, 2025 08:00	active
Meet Bumi! — The ‘world’s cheapest’ and ‘family-friendly’ child humanoid robot to be part of your home, just for S$1.8K, and it can dance too! - Singapore News URL: https://theindependent.sg/meet-bumi-the-worlds-cheapest-and-family-friendly-child-humanoid-robot-to-be-part-of-your-home-just-for-s1-8k-and-it-can-dance-too/ Description: Bumi, a 3.1-foot-tall, child-friendly humanoid robot, is priced at just ¥9,998 (S$1,870). Content: CHINA: While robots usually come with hefty price tags and science-fiction-level complexity, a new pint-sized entrant from China is rewriting the rules, one affordable step at a time. Beijing-based startup Noetix Robotics has unveiled Bumi, a 3.1-foot-tall humanoid robot designed to be child-friendly, wallet-friendly, and surprisingly agile. Priced at just ¥9,998 (S$1,820), Bumi is now being dubbed the “world’s cheapest” consumer-grade humanoid robot, according to reports from Interesting Engineering. While it might resemble a toy at first glance, Bumi is no lightweight in the robotics space. Weighing in at just 12kg, this mini-biped is built with a serious mission: To democratise robotics for homes, classrooms, and hobbyists—not just corporate labs. Noetix describes Bumi as the “industry’s first consumer-grade humanoid robot priced below ¥10,000,” a major milestone in breaking down the price barrier that has kept humanoids confined to research labs and MNC-funded R&D facilities. Think of it as the Xiaomi of robots—minimalist, functional, and engineered to delight. Yes, really! Early demos show Bumi strutting with surprising stability and even busting out a dance move or two. It features in-house motion control, voice interaction, and child-friendly drag-and-drop programming to teach beginners how to code—without the intimidating steep learning curve. Its creators made deliberate design choices to keep it affordable, including the use of lightweight composite materials and a modular build optimized for learning, not labor. The 48V battery gives it 1–2 hours of run time—just enough for a coding class, a play session, or a TikTok-worthy waltz around the living room. Noetix announced that pre-orders for Bumi will open between China’s Double 11 (Nov 11) and Double 12 (Dec 12) shopping festivals—imagine snagging a humanoid robot between your Singles’ Day flash deals. This strategic launch period echoes the sales-savvy approach of many e-commerce giants, but this time, the star item is a walking, talking, dancing robot child. Singaporean tech and robotics fans who’ve been priced out of humanoid ownership may finally get their hands on one—no need to sell your HDB flat to afford a Boston Dynamics model. Founded in September 2023 by researchers from Tsinghua and Zhejiang Universities, Noetix has made remarkable progress. Their previous robot—the Noetix N2—racked up more than 2,500 orders and even competed in a humanoid half-marathon. With Bumi, they’re taking aim at the mainstream market, and it’s not just for kids—think of it as a family-friendly Siri with legs. Whether you want a homework buddy, a coding assistant, or simply a futuristic conversation piece, Bumi ticks the boxes. Bumi’s unveiling comes hot on the heels of a humanoid arms race in China. Unitree recently launched the full-sized H2 robot with 31 degrees of freedom, while UBTECH introduced its research-grade Tiangong Walker. But Bumi stands apart—not for being the strongest, fastest, or tallest, but for being the most accessible. In Singapore terms, it’s the difference between a luxury EV and a practical COE-friendly hatchback. As Interesting Engineering aptly puts it, Bumi may not rival Tesla’s Optimus or Boston Dynamics’ Atlas (which cost tens of thousands or even millions), but at under S$2,000, it “offers a price point comparable to flagship smartphones or high-end drones and laptops.” And in a future where robot companions may become the norm, Bumi might also be your family’s first robotic child, or your next AI sibling. Read related: ‘But I’ll still miss you so much…’ — Little girl cries as her dying AI robot tells her, ‘Before I go… I will keep the happy times we shared together in my memory forever…’ Hot this week Popular Categories The Independent SG © The Independent Singapore Images (1):
	China's Gen Z inventor aims to build the 'Android' of …	https://interestingengineering.com/inno…	1	Dec 29, 2025 08:00	active
China's Gen Z inventor aims to build the 'Android' of humanoid robots URL: https://interestingengineering.com/innovation/china-genz-founder-humanoid-robot Description: The young Chinese founder has secured funding for startup that aims at the country’s first fully open-source humanoid robot platform. Content: From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies. We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. From a $2,100 dorm-built robot to a funded startup. In April 2025, Beijing-based startup RoboParty formally launched with an ambition to build a fully open-source bipedal humanoid robot platform. The founder, Huang Yi (born 2004), made headlines as one of China’s youngest humanoid-robot entrepreneurs. RoboParty has completed a seven-figure seed round from investors including Matrix Partners China, Xiaomi Strategic Investment, Galaxy Universal, and L2F Capital. PandaDaily reports that while studying as a first-year student at Harbin Institute of Technology, Huang reportedly built a walking humanoid robot named “AlexBot” with a modest budget of about US$2,100 in dormitory conditions and shared the full development process openly. In February 2025, with support from Fourier Intelligence, he launched an upgraded version, “AlexBotmini.” Shortly after that, Huang graduated early and shifted focus toward creating the open-source humanoid-robot ecosystem under RoboParty. RoboParty positions itself as “China’s first fully open-source humanoid robot platform.” The company’s in-development model, referred to as “ATOM,” is described as “China’s first fully open-source humanoid robot,” a name that overlaps with Shenzhen-based Dobot’s ATOM humanoid, a widely recognized, non-open-source commercial robot that has no connection to Huang Yi’s project. Huang emphasizes that the open-source route offers a quicker path to building an entire ecosystem, citing benefits such as shared standards, reduced collaboration barriers, greater security, and enhanced global competitiveness. The RoboParty launch emerges amid a broader push by Chinese authorities to develop robotics, AI, and humanoid systems as key strategic technologies. For example, in March 2025, the National Development and Reform Commission announced a state-backed venture fund expected to attract nearly CNY 1 trillion (approximately US$138 billion) over 20 years, with a focus on robotics and AI. In addition, in March 2025, a specialized funding initiative for young scholars in humanoid-robot research was announced. The National Local-Joint Humanoid Robot Innovation Center plans to allocate initial grants for projects led by young researchers from universities or institutes, with individual awards ranging from CNY 300,000 to CNY 500,000 (approximately US$42,000 to US$70,000). In Shenzhen, local authorities unveiled a CNY 10 billion (US$1.39 billion) fund in February 2025 to support AI and robotics firms, covering up to 60% of computing power costs for enterprises and offering subsidies of up to CNY 10 million per enterprise. These policies reinforce the environment in which RoboParty is entering. A national strategy that explicitly names humanoid robots, embodied intelligence, and open-source ecosystems as priorities. For example, Reuters reported that China has allocated more than US$20 billion in subsidies to the humanoid-robot sector, and state procurement of such robots rose from CNY 4.7 million (approximately US$660,000) in 2023 to CNY 214 million (approximately US$30.1 million) in 2024. RoboParty is now conducting its angel-round fundraising round and aims to deliver its open platform “robotics Android” for the next generation of embodied intelligence. According to the founder’s remarks, the goal is to build a widely accessible, collaborative hardware-software stack that enables developers around the world to work together on humanoid standards and applications. However, the company will face challenges from a sector that remains highly competitive. Commercial-scale humanoid robots remain largely experimental, costly, and with few large deployments to date. Industry Hardware, software integration, cost, and safety still pose significant barriers before humanoids become mainstream in factories or service environments. Nonetheless, RoboParty’s youth-driven, open-source approach makes it a distinct player in China’s evolving humanoid-robot ecosystem. Kaif Shaikh is a journalist and writer passionate about turning complex information into clear, impactful stories. His writing covers technology, sustainability, geopolitics, and occasionally fiction. A graduate in Journalism and Mass Communication, his work has appeared in the Times of India and beyond. After a near-fatal experience, Kaif began seeing both stories and silences differently. Outside work, he juggles far too many projects and passions, but always makes time to read, reflect, and hold onto the thread of wonder. Premium Follow Images (1):
	Humanoid robots will take over factory jobs within 5 years: …	https://interestingengineering.com/ai-r…	1	Dec 29, 2025 08:00	active
Humanoid robots will take over factory jobs within 5 years: Xiaomi CEO URL: https://interestingengineering.com/ai-robotics/humanoid-robots-set-to-run-smart-factories Description: Xiaomi CEO Lei Jun says artificial intelligence will overhaul traditional industries within five years as humanoid robots move into core factory roles. Content: From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies. We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. The CEO predicts that household humanoid robots will form an even larger future market due to higher performance demands. Xiaomi CEO Lei Jun has offered one of his strongest predictions yet about the future of manufacturing, telling Beijing Daily that the next five years will bring a major shift powered by artificial intelligence. He said this change will not be gradual but rapid, with humanoid robots soon becoming central to how factories operate. These remarks coincide with China’s broader push for smarter, more advanced production systems as companies race to modernize aging industrial models. Lei highlighted the electric vehicle plant run by the tech giant as a clear sign of the transformation in progress. Large die-cast car parts usually require slow manual inspection, which often leads to mistakes. The company has replaced this step with an X-ray system paired with an AI vision model. It completes a full inspection in two seconds. The process is ten times faster than a worker and more than five times more accurate. Lei described this upgrade as a clear example of how intelligent systems raise factory performance. He said this type of automation signals the rise of a new trillion-yuan industrial market. He noted that no single company can build this market alone. Instead, he expects long-term growth to depend on partnerships and shared engineering platforms across the sector. Looking ahead, he said Xiaomi will introduce humanoid robots across its production lines within five years. These robots will handle tasks now performed by workers, especially repetitive or precision-intensive steps that benefit most from automation. According to the CEO, “And this is only the first step.” He expects domestic robots for households to become an even larger market. These home systems will require higher performance and face far more complex everyday activities than factory units. The firm already has experience in robotics. Its CyberOne humanoid robot appeared in 2022 as a technology demonstration. Since then, it has expanded its engineering teams working on AI research, robotics development, and smart systems for its electric vehicles. The company sees robots as a key part of its future product strategy. Lei explained that intelligent manufacturing brings practical engineering benefits across the full production chain. AI-based inspection improves accuracy and reduces human errors. It shortens production delays and helps stabilize supply operations. They also strengthen supply operations and support the firm’s focus on high precision standards. He also said these upgrades free human workers to take on more advanced roles in planning, design, and engineering development. As humanoid robots take over physical labor, employees will shift toward tasks that require creativity and technical decision-making. This aligns with China’s national roadmap for modernizing manufacturing using AI, robotics, and smart factory systems. Lei also discussed the importance of Beijing in advancing intelligent manufacturing. He urged the city to avoid older methods that depend on low-cost labor. Instead, he encouraged investment in next-generation systems that use automation and digital tools to strengthen industrial competitiveness. He said smart production is the key to Beijing securing long-term leadership in modern industry. The tech firm’s strategy reflects this direction. The company is putting significant resources into AI development, robotics testing, and factory upgrades. Lei said the next five years will be decisive. Humanoid robots, inspection AI, and interconnected factory systems will become core parts of Xiaomi’s production network. A versatile writer, Sujita has worked with Mashable Middle East and News Daily 24. When she isn't writing, you can find her glued to the latest web series and movies. Premium Follow Images (1):
	Xiaomi confirms humanoid robots will start working at factories within …	https://www.indiatoday.in/technology/ne…	1	Dec 29, 2025 08:00	active
Xiaomi confirms humanoid robots will start working at factories within 5 years, replacing humans - India Today URL: https://www.indiatoday.in/technology/news/story/xiaomi-confirms-humanoid-robots-will-start-working-at-factories-within-5-years-replacing-humans-2828591-2025-12-01 Description: Xiaomi is gearing up for a major change in the way its factories operate, and the company’s chief executive Lei Jun believes the change is closer than many expect. Here is everything you need to know. Content: Xiaomi is gearing up for a major change in the way its factories operate, and the company’s chief executive Lei Jun believes the change is closer than many expect. In a conversation with Beijing Daily, he said the rapid progress in artificial intelligence is pushing traditional industries into a new phase, where machines built to resemble humans will gradually take over work once handled manually. According to him, AI has moved past being a support tool and now sits at the core of how modern factories will be redesigned in the coming years, ITHome reported. Lei pointed to the company’s electric vehicle plant to explain how this change has already begun. He said that one of the more demanding tasks in the plant is checking the large die-cast structures used in vehicles. In the past, this relied heavily on human judgement, which took time and left room for mistakes. But Xiaomi has now fitted an X-ray system with a vision-based AI model that completes the same assessment in just a couple of seconds. Lei noted that it is around ten times faster and far more accurate than manual inspection, offering a simple preview of what a fully AI-driven workflow could look like. He believes such improvements open the door to a massive opportunity for companies working around automation, estimating that the market could eventually be worth a trillion yuan. But he also stressed that the industry is too complex for any single company to tackle alone. In his view, the next phase of AI adoption will depend on building shared platforms and forming partnerships that can support different parts of the ecosystem. A key part of this future will be humanoid robots. Lei revealed that Xiaomi plans to deploy these robots across its production lines within the next five years, handling the same physical tasks that workers currently manage on assembly floors. “And this is only the first step,” he said, adding that the demand for humanoid robots inside homes could become even larger. Domestic robots, he explained, will need to handle more complicated environments and meet much higher performance requirements than factory units. Lei also spoke about China’s broader role in the shift to smarter manufacturing. He cautioned that relying on cheap labor is no longer a viable path and urged Beijing’s industrial sector to push harder towards intelligent manufacturing. He believes such a transition is necessary if China wants to maintain an edge in the global race for advanced production systems. Xiaomi, for its part, has been inching toward this direction for years. The company introduced its first humanoid robot, CyberOne, back in 2022 as a technology showcase. Since then, it has been steadily expanding its work in robotics, AI, and smart electric vehicles, aiming to position itself as a key player in next-generation automation.- EndsPublished By: Ankita GargPublished On: Dec 1, 2025 Images (1):
	Xpeng to unveil fifth-gen humanoid robot built on 70% of …	https://kr-asia.com/xpeng-to-unveil-fif…	1	Dec 29, 2025 08:00	active
Xpeng to unveil fifth-gen humanoid robot built on 70% of its EV tech URL: https://kr-asia.com/xpeng-to-unveil-fifth-gen-humanoid-robot-built-on-70-of-its-ev-tech Description: CEO He Xiaopeng sees robotics as the company’s “third growth curve,” with mass production set for 2026. Content: Written by 36Kr English Published on 25 Aug 2025 3 mins read According to 36Kr, Xpeng has become a recurring name in discussions among those working in embodied intelligence. “Among [Chinese] humanoid robotics teams, Xpeng is in the top three,” one industry insider said. While China’s embodied intelligence sector has seen a surge in startup activity, Xpeng Robotics has kept a relatively low profile. That changed during the company’s August 19 earnings call, when CEO He Xiaopeng announced that Xpeng’s fifth-generation humanoid robot will debut on October 24, with mass production slated for the second half of 2026. 36Kr has learned that Xpeng’s venture into robotics began in early 2020 under the leadership of Liangchuan Mi. Mi joined Nvidia in 2005 and later became senior manager for Android software at its Santa Clara office, overseeing Android platform operations in China. While at Nvidia, Mi reported to Xinzhou Wu, the company’s global vice president, and led teams of around 100 people. He studied at the University of Science and Technology of China and worked as a researcher at Carnegie Mellon University. Xpeng’s robotics ambitions predate the current embodied intelligence boom. One source told 36Kr that He’s interest in robotics dates back to 2016. “He would do a serious robotics review almost every year,” the source said, adding that He spent long hours in discussion with Unitree Robotics founder Wang Xingxing. In 2020, He shifted from interest to execution. Xpeng acquired Dogotix, a company founded by Zhao Tongyang, and established Pengxing Intelligence to explore robotics ventures. According to the same source, Xiaomi founder Lei Jun helped facilitate the deal. The acquisition reportedly cost Xpeng USD 100 million to buy out existing investor shares. At its peak that year, Pengxing had more than 300 employees. However, internal misalignments, including friction with He, eventually led to the departure of core team members. Zhao, the former team lead, went on to found EngineAI. After 2023, He appointed Mi to lead the robotics division. According to a source, the team underwent several restructurings over the past two years, shrinking to about 70 people before scaling back up to around 200. In China’s embodied intelligence space, that headcount is considered substantial. Sources who spoke to 36Kr said He’s robotics roadmap partly mirrors Elon Musk’s approach. He has described robotics as Xpeng’s “third growth curve.” Positioning robotics as an extension of automotive technology has strategic logic. Smart driving systems are arguably the most practical real-world application of embodied intelligence, due to significant overlap in the core technology stack. Tesla’s Optimus robot, for example, reportedly repurposed about 60% of its “Full Self-Driving” (FSD) algorithms. Similarly, Xpeng’s earlier robot, Iron, reused its Hawkeye vision system originally developed for automotive use. He has previously stated that humanoid robotics and autonomous driving can accelerate one another when built on shared infrastructure. The supply chain also offers synergies. Many automotive components can be adapted for robotics. Tesla’s Optimus, for instance, uses a battery pack from the Model Y. On the product side, Xpeng has already launched several robots. These include its first PX5, in October 2023, and Iron, its fourth-generation robot, in November 2024. RELATED ARTICLENewsXpeng Motors unveils new tech aimed at expanding beyond EVsWritten by KrASIA Connection Written by KrASIA Connection According to He’s August earnings call remarks, the fifth-generation humanoid robot will integrate Xpeng’s automotive technology more deeply. It will feature Xpeng’s in-house Turing AI chip to enhance on-device computation, supporting small reinforcement learning models and a modular end-to-end architecture. The robot will also run on the company’s VLA (vision-language-action) architecture and share cloud AI infrastructure with its vehicles. The electrical and electronic architecture of the fifth-generation robot is adapted from Xpeng’s vehicles. Joint modules, control systems, and the division of processing tasks are all shaped by its smart driving division. Overall, about 70% of the technology stack is expected to be shared with the automotive side. With core technologies in place, Xpeng is beginning real-world testing. A source told 36Kr that several hundred humanoid robots have already been deployed on Xpeng’s production lines. These units are not yet involved in vehicle assembly but are primarily used for algorithm tuning and data collection. “Deploying several hundred on the production line is already a lot for an automaker,” the source said. KrASIA Connection features translated and adapted content that was originally published by 36Kr. This article was written by Qiu Xiaofen for 36Kr. Loading... Subscribe to our newsletters KrASIA A digital media company reporting on China's tech and business pulse. Images (1):
	Humanoid robots will enter Xiaomi factories at scale within five …	https://www.gizmochina.com/2025/11/30/h…	1	Dec 29, 2025 08:00	active
Humanoid robots will enter Xiaomi factories at scale within five years, says Lei Jun - Gizmochina URL: https://www.gizmochina.com/2025/11/30/humanoid-robots-will-enter-xiaomi-factories-at-scale-within-five-years-says-lei-jun/ Description: Lei Jun says humanoid robots will enter Xiaomi factories at scale within five years, as AI reshapes manufacturing and drives major industrial upgrades. Content: Xiaomi CEO Lei Jun believes that artificial intelligence will reshape traditional industries over the next five years and says humanoid robots will soon play a central role in that transformation. In an interview with Beijing Daily, Lei said AI is no longer a peripheral tool, but a core driver for rebuilding the industrial landscape across sectors. Lei cited Xiaomiâs EV factory as an early example of how AI can deliver massive efficiency gains. Inspecting large die-cast components manually is slow and error-prone. But an X-ray system integrated with a vision AI model now performs the task in two seconds, offering ten times the speed and more than five times the accuracy of a human worker. Lei described this as a glimpse of whatâs possible when AI is deeply embedded into core manufacturing processes. He said this level of automation and precision could unlock a new trillion-yuan ($140 billion) industrial market, but emphasized that no company can build the entire pipeline alone. Partnerships and collaborative ecosystems will be critical for scaling AI across industries. Looking ahead, Lei said Xiaomi will deploy humanoid robots across its factories on a large scale within five years. These robots will be able to take over tasks currently handled by humans on the assembly line. âAnd this is only the first step,â Lei said. He expects the home market for humanoid robots to be even bigger, with higher complexity and stricter performance demands. Lei also highlighted Chinaâs role in smart manufacturing and warned against following the outdated model of relying on cheap labor. He called on the capital cityâs manufacturing sector to lead with intelligent production methods and capture the high ground in the race for industrial upgrading. The company has already made strides in robotics. Its CyberOne humanoid robot debuted in 2022 as a proof of concept. Since then, Xiaomi has quietly expanded its AI and robotics research as part of its broader push into smart electric vehicles and advanced automation. Xiaomiâs vision aligns with broader trends in Chinaâs manufacturing upgrade roadmap, where AI, robotics, and smart factories are expected to play a central role in driving long-term competitiveness. For more daily updates, please visit ourÂ News Section. Stay ahead in tech! Join our Telegram community and sign up for our daily newsletter of top stories! ð¡ (Via) Images (1):
	Humanoid Robot Maker Ubtech Limbers Up for IPO - Tesla …	https://www.benzinga.com/23/02/30813900…	1	Dec 29, 2025 08:00	active
Humanoid Robot Maker Ubtech Limbers Up for IPO - Tesla (NASDAQ:TSLA) - Benzinga URL: https://www.benzinga.com/23/02/30813900/humanoid-robot-maker-ubtech-limbers-up-for-ipo Description: Key Takeaways: Ubtech has been a pioneer in humanoid robotics, but several tech giants have now stepped into the market The company has yet to break even and looks set to stay in the red for some time, despite achieving mass production of its robots By Molly Wen Content: By Molly Wen A few years ago, one of the most popular variety shows on Chinese TV featured a dance troupe performing eye-popping moves. Nothing unusual there, except that the dancers included six humanoid robots. Four years after making a splash at the “Spring Festival Gala” with its rhythmic robots, Ubtech Robotics Corp Ltd. is seeking to wow investors with a listing on the Hong Kong Stock Exchange. The robotics unicorn filed a preliminary prospectus last Tuesday, eyeing a slot on the main board. In robotics, the challenge of creating androids that can maintain their balance and coordinate their limbs is much tougher than making quadruped or spider robots with multiple legs. But the potential payoff is also greater, as robots with the mobility and dexterity of humans can be deployed in social care and other settings. Founded in 2012, Ubtech develops and sells humanoid robots, with more than 1,500 patents related to robotics and artificial intelligence by end of last year. Ubtech is the first company in China to mass produce small humanoid robots, according to a research report cited in the prospectus. Ubtech completed several financing rounds before filing for a Hong Kong IPO, raising its capital to 31.2 billion yuan ($4.6 billion) after the last fund-raising in November 2022. In that round, Puyang Financial Holding subscribed for 2.045 million ordinary shares at 78.88 yuan per share. Ubtech founder and CEO James Zhou and his associates held a controlling 53.98% stake in the robotics firm, while Shenzhen Evolution Investment had 10%, Tencent Holdings (0700.HK) 6.48% and QM25 Fund, managed by Qiming Venture Partners, held 5.98% of the company shares. As a star unicorn, Ubtech had tried to list on the A-share market, but without success. In 2019, it signed an agreement for IPO guidance from CICC and made a counseling filing with the Shenzhen branch of the China Securities Regulatory Commission. The following year, Ubtech enlisted CICC and Minsheng Securities to help with an A-share listing, but CICC withdrew in January 2021 and the contract with Minsheng Securities ended a few months later. The robotics market has been in the investment spotlight since several humanoid models made by big-name tech companies made their debuts last year. “CyrberOne”, a robot from Xiaomi Corp. (1810.HK) with a height of 1.77 meters, waddled onto the stage holding a flower at a launch event in August 2022. Last October, “Optimus” from Tesla Inc. (NASDAQ:TSLA) made a grand entrance, touted as a potential worker in hazardous settings or a helper in the home to cook, mow the lawn, care for the elderly or even act as a human companion. However, the humanoid robots made by Tesla and Xiaomi do not come cheap. CyrberOne costs up to 700,000 yuan to manufacture and has not reached the mass production stage. Ubtech, with years of experience under its belt, is already mass producing robots for the education and logistics industries, as well as toy robots for consumers. While industrial robots are widely used, humanoid robots have so far been deployed mainly in the classroom. Ubtech earnings data cited in the prospectus show revenue rose 5% to 529 million yuan in the first nine months of 2022, with nearly 68% percent – or 358 million yuan – coming from smart educational robots. Robots for the logistics industry accounted for 9.6% of revenues, while other sector-tailored robots contributed 4.3%. Robots for the consumer market and other smart hardware devices made up 16.4% of overall revenues. Ubtech’s educational robots are mostly used to teach STEAM subjects – science, technology, engineering, the arts and math – in schools, colleges and universities. Its products include robot hardware and software services customized for education, as well as AI tutorials and robot teaching kits. But the company’s ambitions do not stop there. Since the second half of last year, it has been targeting other markets such as elderly care and recreation to broaden its revenue streams. Ubtech has more than 30 products on the market and revenues have been growing steadily in recent years, but high expenses are pushing the company deeper into the red. In 2020 it posted revenues of 740 million yuan but made a loss of 707 million yuan. The following year revenues rose to 817 million yuan, but Ubtech logged a 918 million yuan loss. In the first nine months of last year, the loss swelled 28% to 778 million yuan from the year-earlier period. Ubtech has burned through cash to promote its humanoid robots. In the first nine months of last year, expenses for sales and marketing accounted for nearly 46% of revenue for the period, while R&D expenses shot up to around 61% of revenue. With general administrative expenses to contend with as well, the company has been struggling to make ends meet. Therefore, the robotics unicorn will likely be mired in net losses for some time. It will have to work on widening the uses of its robots, capturing economies of scale and bringing costs under control in order to turn a profit. Moreover, a downward trend in gross margin is ringing alarm bells. In 2020 gross margin stood at 44.7%. failing to 31.3% in 2021 and 30.7% for the first nine months of 2022. Fierce competition in the smart-home arena has forced Ubtech to cut prices for its consumer-level robots to boost sales and clear stale inventory. As a result, the business even logged a gross loss ratio of 26.4% in 2021. Ubtech has not yet passed the listing hearing in its bid to become the first humanoid robotics specialist on either the A-share or Hong Kong stock markets. The lack of direct peers makes it hard to pin down comparative valuations. But its valuation after the last round of financing was 31.2 billion yuan, slightly higher than surgery robotics company Shanghai MicroPort MedBot (2252.HK) at 28 billion yuan, and far above valuations of around 6 billion yuan for OrbusNeich Medical Group (6929.HK) and Tinavi Medical Technologies (688277.SH). Humanoid robotics is an emerging industry that could hold real promise for the future, but the business present-day profit model is unclear. It remains to be seen whether investors will be willing to pay a premium for a piece of the humanoid robotics action. © 2025 Benzinga.com. Benzinga does not provide investment advice. All rights reserved. A newsletter built for market enthusiasts by market enthusiasts. Top stories, top movers, and trade ideas delivered to your inbox every weekday before and after the market closes. Images (1):
	Open-Source Humanoid Robot Startup RoboParty Raises Back-to-Back Seed and Seed+ …	https://pandaily.com/open-source-humano…	1	Dec 29, 2025 08:00	active
Open-Source Humanoid Robot Startup RoboParty Raises Back-to-Back Seed and Seed+ Rounds in One Month - Pandaily URL: https://pandaily.com/open-source-humanoid-robot-startup-robo-party-raises-back-to-back-seed-and-seed-rounds-in-one-month Description: RoboParty has raised back-to-back Seed and Seed+ rounds within a month to scale its fully open-source humanoid robotics platform and developer ecosystem. Content: Want to read in a language you're more familiar with? RoboParty has raised back-to-back Seed and Seed+ rounds within a month to scale its fully open-source humanoid robotics platform and developer ecosystem. December 16, 2025 â Shanghai-based RoboParty, a full open-source bipedal humanoid robotics company, announced that it has completed a Seed+ financing round just one month after closing a multi-million-dollar Seed round. The latest round was backed by SenseTime Guoxiang Capital, BV Baidu Ventures, and Walden International China, with continued participation from existing seed investors including Matrix Partners China, Xiaomi Strategic Investments, and the L2F Photon Entrepreneur Fund. Source Code Capital acted as both incubator and exclusive financial advisor for the transaction. The newly raised funds will be used to accelerate in-house development of core components, optimize humanoid robot body structures and motion control systems, and expand RoboPartyâs open-source software stack and global developer ecosystem. RoboParty claims to be the only company in China to deliver a fully open-source bipedal humanoid robot stack spanning algorithms, control systems, and complete hardware platforms. The company focuses on building low-cost, standardized, and reusable general-purpose humanoid robot bodies, lowering development barriers by openly sharing design blueprints, source code, and end-to-end deployment documentation. Looking ahead, RoboParty plans to pursue an âopen-source + platformâ strategy to establish next-generation humanoid robotics infrastructure and accelerate the sustainable evolution of embodied intelligence. Related posts coming soon... Pandaily is a tech media based in Beijing. Our mission is to deliver premium content and contextual insights on China's technology scene to the worldwide tech community. Â© 2017 - 2025 Pandaily. All rights reserved. Images (1):
	China's humanoid robot makers ramp up production despite tech hurdles	https://kr-asia.com/chinas-humanoid-rob…	1	Dec 29, 2025 08:00	active
China's humanoid robot makers ramp up production despite tech hurdles URL: https://kr-asia.com/chinas-humanoid-robot-makers-ramp-up-production-despite-tech-hurdles Description: Agibot, Galbot, UBTech, and Dobot are leading the charge, with all-purpose models expected to lag behind. Content: Written by Nikkei Asia Published on 18 Dec 2025 4 mins read Chinese companies are racing to produce humanoid robots for fields ranging from entertainment to retail to smart manufacturing, even as technical hurdles and price issues remain to be conquered. Shanghai-based robot maker Agibot, backed by Chinese tech giants Tencent, BYD, and Baidu, said on December 7 it has reached a milestone of producing 5,000 humanoid robots at its flagship factory since it was founded in 2023, a figure that places the startup among the world’s biggest producers of such products by shipments. In just a few short years, Agibot has emerged as a leading humanoid robot builder under its 32-year-old co-founder and president, Peng Zhihui, a nationally renowned engineer who previously worked at major Chinese tech companies, including Huawei and Oppo. Goldman Sachs and BofA Global Research estimate that humanoid robot shipments will reach about 18,000–20,000 units in 2025. The figure for 2024 was only about 3,000 units, meaning any manufacturer capable of producing even a few thousand units is already making a meaningful impact on the market. Qiu Heng, Agibot’s CMO, told Nikkei Asia that the robot maker has a vision of building humanoid robots with “general intelligence,” rather than only performing specific tasks. Qiu said they are progressing step by step with vision-language-latent-action (ViLLA) framework models developed specifically for training different types of humanoid robots. Training robots requires interaction not only through language, but also through motion, vision, and other senses. Its robots can now handle simpler tasks such as dancing, performing tai chi and giving introductions at exhibitions, as well as conducting patrols or inspections, collecting data, and carrying out certain specialized tasks in a factory. “Performing dances is more of an entry-level capability, while handling factory tasks is considered more advanced,” Qiu said. “Our long-term vision is to build robots that are not like fixed robot arms limited to specific tasks. Instead, we hope they can be more humanlike, able to cook one day, work in a factory the next, drive a car another day, and continue learning new skills over time.” Qiu said his company believes humanoid robots will enter households and start to become part of consumers’ daily lives in “three to five years.” All of Agibot’s robots can receive software updates and become more intelligent and skilled, he added. Beijing-registered Galbot, founded by robotics scholar Wang He and backed by food delivery group Meituan and top battery maker Contemporary Amperex Technology (CATL), is taking a slightly different approach. Instead of setting broad ambitions for robots that can do everything, Galbot is focusing on three targeted training models, but prioritizing retail and industrial manufacturing applications. “Currently, the most mature applications for our humanoid robots are in the retail sector. We have deployments in several stores in Beijing and will deploy massively in retail sectors in many major cities across China,” Xiao Minpeng, an overseas marketing representative with Galbot, told Nikkei Asia. “Within that specific domain and scenarios, we have our own trained models for retail shelf operations.” He said Galbot is working more on wheeled humanoid robots rather than four-footed patrol bots or dancing humanoid models. “Our approach is more down-to-earth, to master skills rather than rolling out so many different types of solutions all at once,” he said. Galbot and Agibot are among Nvidia’s early strategic partners, using the US chipmaker’s platforms to develop and deploy humanoid applications. Other leading Chinese players, including Unitree and UBTech, are also collaborating closely with Nvidia. Key robot players in the US include Tesla’s Optimus, Agility Robotics and Boston Dynamics, majority owned by Hyundai Motor Group, while major Asian players like Xiaomi, Xpeng, and Samsung are also making their own bets on humanoid robotics. RELATED ARTICLEFeaturesXpeng’s next chapter lies in physical AI, says CEO He XiaopengWritten by 36Kr English Written by 36Kr English Major industrial robotic solutions providers in Europe and Japan, such as ABB, Fanuc and Kawasaki Heavy, dominate autonomous robotic arms for factory use but are far less active in developing broadly intelligent, general-purpose humanoid robots, according to industry executives and analysts. Hong Kong-listed Dobot, one of China’s leading industrial robotics solution providers, has also invested in developing humanoid robot models, though the company acknowledges the nascent industry is facing several bottlenecks. For example, humans are more than capable of handling tasks such as working at specific factory stations, “and the cost of building and deploying humanoid robots still cannot compete with the cost of human labor,” a Dobot representative told Nikkei. Still, many analysts say the market for humanoid robots is enormous and that embedding artificial intelligence into physical systems represents the next major frontier of technological growth. According to Morgan Stanley, global cumulative humanoid adoption could reach one billion units by 2050, with adoption growing slowly through the mid-2030s and accelerating rapidly after 2035 as hardware, software, and AI models mature enough to enable truly general-purpose humanoid robots. The industry also faces a core challenge known as Moravec’s paradox, which refers to the observation that while computers can relatively easily achieve adult-level performance on tasks such as intelligence tests, it remains extremely difficult to give robots the perceptual and motor skills of a one-year-old child. Agibot’s Qiu said certain components, such as a “dexterous hand” capable of performing advanced skills and various joints and actuators on the robot’s body, will be very important for the future. One key hurdle to adoption is heat dissipation issues for the “brain,” “joints,” and battery of the humanoid robot form, according to Sharon Shih, an analyst with Morgan Stanley. While optimism about physical AI is running high—buoyed by statements from figures such as SoftBank founder Masayoshi Son, who has called it the next big wave in tech—others are more cautious. Former Intel CEO Pat Gelsinger said humanoid robots still have many technological challenges to overcome and that progress could go through up-and-down cycles. “The biggest challenge for humanoid robots today is having humanoids safe in the presence of humans,” Gelsinger told Nikkei Asia. “Consumer humanoid robots are not going to happen [any time soon].” This article first appeared on Nikkei Asia. It has been republished here as part of 36Kr’s ongoing partnership with Nikkei. Loading... Subscribe to our newsletters KrASIA A digital media company reporting on China's tech and business pulse. Images (1):
	Xiaomi Unveils CyberOne Robot, a rival to Tesla’s Upcoming Optimus …	https://www.techjuice.pk/xiaomi-unveils…	1	Dec 29, 2025 08:00	active
Xiaomi Unveils CyberOne Robot, a rival to Tesla’s Upcoming Optimus Bot URL: https://www.techjuice.pk/xiaomi-unveils-cyberone-robot-a-rival-to-teslas-upcoming-optimus-bot/ Description: Xiaomi, the tech startup mostly known in the West for ripping off Apple's designs, has revealed a prototype bipedal robot, the CyberOne. Content: Xiaomi, the Chinese tech startup mostly known in the West for ripping off Apple’s designs, has revealed a prototype bipedal robot, the CyberOne. The bot was shown last week and can do little more than walk across a stage based on a quick live demonstration. The CyberOne demonstrates the current state of robot development for a non-specialized company like Xiaomi and provides valuable context for what we might expect from a rather similar-looking bipedal bot: Tesla’s much-anticipated Optimus robot, set to be unveiled as a prototype later this year on September 30th. According to Xiaomi’s official specifications, the CyberOne weighs 52kg (114lbs) and stands 177cm tall (5 foot 8 inches, making CyberOne a short king). It has a peak speed of 3.6km/h (2.2mph, or somewhat slower than normal walking speed) and a pair of mitten-like hands that can open and close but appear incapable of greater dextrous movement. I was both nervous and thrilled to interact with him on stage. What did you think of his performance tonight? #CyberOne pic.twitter.com/Je1eXDYEGR — Lei Jun (@leijun) August 11, 2022 The bot includes a machine vision system for navigation that can detect depth at distances of up to eight meters, and Xiaomi claims it can also “perceive” human emotion, presumably by utilizing an AI system to read facial expressions. (An important side note: experts claim this type of emotion identification AI is virtually unscientific, and several tech behemoths, such as Microsoft, have ceased selling it.) Xiaomi has been pretty open about CyberOne’s purpose. According to a press release, CyberOne is a “symbol of Xiaomi’s commitment to incubate a technology ecosystem,” The bot’s development will “give rise to further application scenarios in other industries.” In other words, CyberOne is a marketing tool and a platform for larger R&D activities, and Xiaomi does not intend to produce a robot butler anytime soon. Compared to Xiaomi, Elon Musk, the founder and CEO of Tesla, has pledged to construct a robot butler, Tesla’s Optimus. Musk stated last year that the company’s man in a spandex suit humanoid bot will be able to follow complicated human directions like “please go to a store and grab me groceries.” He’s subsequently made similar assertions, referring to the Tesla Optimus as a “general-purpose humanoid robot” that will “replace people in repetitive, monotonous, and dangerous tasks.” Surprisingly, Tesla’s Optimus bot is strikingly similar to Xiaomi’s CyberOne. Musk, as is standard for Tesla’s CEO, conflates timelines and blurs the gap between conceivable future technology and existing capabilities to allow listeners’ to guess on their own. But, to be clear, Tesla is also not planning on offering a “general purpose” robot anytime soon. However, such claims are just beyond the capabilities of even cutting-edge technology. Robots can do basic labor, but only in limited and specific situations, such as industrial bots in factories and robot vacuum cleaners. When creating a general-purpose bot, Xiaomi’s CyberOne paints a far more realistic image. Tesla is widely expected to construct and present a prototype humanoid bot. It will be able to walk and converse in preset demos, similar to Xiaomi’s CyberOne, and may exhibit more sophisticated hand movement or lifting skills (such as Agility Robotics’ Digit bot, which is bipedal and can lift to 18 kg). But it won’t be doing any complicated chores anytime soon. As CyberOne demonstrates, building a robot for marketing and research purposes can be both enjoyable and useful. I was both nervous and thrilled to interact with him on stage. What did you think of his performance tonight? #CyberOne pic.twitter.com/Je1eXDYEGR — Lei Jun (@leijun) August 11, 2022 The bot includes a machine vision system for navigation that can detect depth at distances of up to eight meters, and Xiaomi claims it can also “perceive” human emotion, presumably by utilizing an AI system to read facial expressions. (An important side note: experts claim this type of emotion identification AI is virtually unscientific, and several tech behemoths, such as Microsoft, have ceased selling it.) Xiaomi has been pretty open about CyberOne’s purpose. According to a press release, CyberOne is a “symbol of Xiaomi’s commitment to incubate a technology ecosystem,” The bot’s development will “give rise to further application scenarios in other industries.” In other words, CyberOne is a marketing tool and a platform for larger R&D activities, and Xiaomi does not intend to produce a robot butler anytime soon. Compared to Xiaomi, Elon Musk, the founder and CEO of Tesla, has pledged to construct a robot butler, Tesla’s Optimus. Musk stated last year that the company’s man in a spandex suit humanoid bot will be able to follow complicated human directions like “please go to a store and grab me groceries.” He’s subsequently made similar assertions, referring to the Tesla Optimus as a “general-purpose humanoid robot” that will “replace people in repetitive, monotonous, and dangerous tasks.” Surprisingly, Tesla’s Optimus bot is strikingly similar to Xiaomi’s CyberOne. Musk, as is standard for Tesla’s CEO, conflates timelines and blurs the gap between conceivable future technology and existing capabilities to allow listeners’ to guess on their own. But, to be clear, Tesla is also not planning on offering a “general purpose” robot anytime soon. However, such claims are just beyond the capabilities of even cutting-edge technology. Robots can do basic labor, but only in limited and specific situations, such as industrial bots in factories and robot vacuum cleaners. When creating a general-purpose bot, Xiaomi’s CyberOne paints a far more realistic image. Tesla is widely expected to construct and present a prototype humanoid bot. It will be able to walk and converse in preset demos, similar to Xiaomi’s CyberOne, and may exhibit more sophisticated hand movement or lifting skills (such as Agility Robotics’ Digit bot, which is bipedal and can lift to 18 kg). But it won’t be doing any complicated chores anytime soon. As CyberOne demonstrates, building a robot for marketing and research purposes can be both enjoyable and useful. Sharing clear, practical insights on tech, lifestyle, and business. Always curious and eager to connect with readers. A new wave of grid sensing technology is pushing U.S. utilities closer to a high resolution, real time picture of what is happening on the. MongoDB administrators are scrambling to assess exposure after security researchers spotlighted a newly disclosed server flaw that can leak uninitialized heap memory to an unauthenticated. The National Database and Registration Authority (NADRA) has officially launched a new digital fingerprint verification system. This update comes through a collaboration with the Directorate. The Punjab government has officially empowered the Crime Control Department (CCD) to take strict action against online fraudsters. This decision aims to curb the rising. 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	Humanoid Robots Will Take These Jobs in Five Years: Xiaomi	https://propakistani.pk/2025/12/01/huma…	1	Dec 29, 2025 08:00	active
Humanoid Robots Will Take These Jobs in Five Years: Xiaomi URL: https://propakistani.pk/2025/12/01/humanoid-robots-will-take-these-jobs-in-five-years-xiaomi/ Description: Xiaomi CEO Lei Jun says artificial intelligence is set to transform traditional industries over the next five years, and he expects humanoid robots to Content: Xiaomi CEO Lei Jun says artificial intelligence is set to transform traditional industries over the next five years, and he expects humanoid robots to become a central part of that shift. In an interview with Beijing Daily, Lei described AI as a core force that will rebuild industrial systems rather than a peripheral tool. Lei pointed to Xiaomi’s electric vehicle factory as an early example of how AI can deliver major efficiency gains. Inspecting large die-cast components is typically slow and prone to human error. Xiaomi now uses an X-ray system combined with a vision AI model to complete the task in two seconds, providing ten times the speed and more than five times the accuracy of manual inspection. Lei called this a preview of what becomes possible when AI is deeply integrated into core manufacturing operations. He believes this level of automation and precision could create a $140 billion industrial market. However, he stressed that no single company can build the entire ecosystem on its own, and partnerships will be essential for scaling AI across different sectors. Lei said Xiaomi will begin deploying humanoid robots across its factories on a large scale within five years to handle tasks currently performed by human workers. He described this as only the beginning and predicted that the home market for humanoid robots will eventually become even larger, with higher complexity and stricter performance requirements. He also emphasized China’s role in next-generation manufacturing and warned against relying on outdated models dependent on low-cost labor. Lei urged the capital city’s industrial sector to lead with intelligent production methods to secure an advantage in the country’s manufacturing upgrade. Xiaomi introduced its CyberOne humanoid robot in 2022 as a proof of concept. Since then, the company has expanded its AI and robotics research as part of its broader plan to advance smart electric vehicles and automated industrial systems. Xiaomi’s vision mirrors China’s long-term strategy for manufacturing transformation, with AI, robotics, and smart factories positioned as the foundation for future competitiveness. 📢 For the latest Tech & Telecom news, videos and analysis join ProPakistani's WhatsApp Group now! Follow ProPakistani on Google News & scroll through your favourite content faster! Shares ProPakistani is the premier and most trustworthy resource for all happenings in technology, telecom, business, sports, auto, education, real estate and entertainment news in Pakistan. Whether it's the top trending news, inside scoops or features, interviews, market trends and analysis, product reviews, How to's or tutorials – we cover it all. © 2025 ProPakistani.PK - All rights reserved Join the groups below to get latest news and updates. Session expired Please log in again. The login page will open in a new tab. After logging in you can close it and return to this page. Images (1):
	China’s Xiaomi taps ex-Musk engineer to advance robot hand tech	https://interestingengineering.com/ai-r…	1	Dec 29, 2025 08:00	active
China’s Xiaomi taps ex-Musk engineer to advance robot hand tech URL: https://interestingengineering.com/ai-robotics/elon-musk-tesla-humanoid-engineer-xiaomi Description: Beijing-based Xiaomi is ramping up its robotics research and development to compete in the growing global humanoid market. Content: From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies. We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. Xiaomi has hired Zach Lu Zeyu, a former senior robotics engineer focused on the Tesla Optimus humanoid robot. Beijing-based Xiaomi is ramping up its robotics research and development to compete in the growing global humanoid market. Reports have surfaced suggesting that the company has hired a senior engineer from Elon Musk’s Tesla Optimus team. The hire reflects Xiaomi’s fierce ambition to become a major player in embodied Artificial Intelligence (AI) and robotics, after its foray into the competitive electric vehicle market. Xiaomi has hired Zach Lu Zeyu, a former senior robotics engineer focused on the Tesla Optimus humanoid robot, according to a report by the South China Morning Post (SCMP). Lu joined Xiaomi last month to lead the research and development for the company’s dexterous hand operations. During his two-year tenure at Elon Musk’s Tesla, Lu specialized in designing systems for dexterous grasping and manipulation, as well as tactile sensing. These areas are key to making robots really useful. Dexterous grasping involves engineering a robot’s hand to mimic the complex flexibility and precision of a human hand, enabling it to perform tasks far beyond simple gripping. Tactile sensing, the robot’s ability to “feel” pressure, texture, and slippage, is equally vital. This sensory feedback is essential for the robot to automatically adjust its grip strength, allowing it to successfully handle delicate or oddly shaped objects without crushing them. The necessity of these human-like capabilities has made dexterous hands and tactile sensing a highly competitive focus area in robotics research globally. Lu’s recruitment — a graduate of the National University of Singapore with a PhD in mechatronics, robotics, and automation engineering — reflects Xiaomi’s commitment to building a world-class team. SCMP reported that the company recently posted various job openings specifically for engineers and designers on its Dexterous Hand project, in addition to over 200 other robotics-related roles. In other recent strategic moves. Last week, Xiaomi released MiMo-Embodied as an open-source foundation model, which combines autonomous driving and embodied AI technologies. Furthermore, the firm recently recruited Chinese AI prodigy Luo Fuli, a former DeepSeek researcher, for its MiMo team. Xiaomi demonstrated its early commitment to robotics by unveiling a quadrupedal robot dog prototype in 2021, followed by a humanoid robot in 2022, clearly showcasing a long-term vision in the sector. While Xiaomi steps up its recruitment, the Chinese industry is also facing a talent squeeze. For instance, Hangzhou-based Deep Robotics recently cited a severe talent shortage that is hindering the commercialization of its R&D. Xiaomi’s growing ambition in robotics is unfolding amid an intensifying technological rivalry between the U.S. and China to build the world’s best bots. While both nations are vying for dominance, their strengths currently differ. Experts note that China is leading in the quantity of robots delivered to consumers and affordability. However, American firms lead the way in the quality of their demonstrated robots and advanced Artificial Intelligence capabilities. Earlier, Musk detailed plans for a Fremont factory designed to eventually produce a million bots annually, targeting a price of about $20,000. In contrast, China’s Unitree Robotics is focused on immediate market availability, already selling a functioning humanoid robot capable of walking and dancing for a much lower starting price of around $6,000. The scale of China’s commitment is reflected in the International Federation of Robotics (IFR) estimate of at least 80 humanoid-robot companies in China, five times the number in the U.S. Mrigakshi is a science journalist who enjoys writing about space exploration, biology, and technological innovations. Her work has been featured in well-known publications including Nature India, Supercluster, The Weather Channel and Astronomy magazine. If you have pitches in mind, please do not hesitate to email her. Premium Follow Images (1):
	Tien Kung, a humanoid robot by state-backed X-Humanoid with Xiaomi …	https://news.nextbigwhat.com/tien-kung-…	1	Dec 29, 2025 08:00	active
Tien Kung, a humanoid robot by state-backed X-Humanoid with Xiaomi and UBTech, completes Beijing half marathon in 2h 40m with three battery changes, aiming to be a core robotics platform akin to Android. URL: https://news.nextbigwhat.com/tien-kung-a-humanoid-robot-by-state-backed-x-humanoid-with-xiaomi-and-ubtech-completes-beijing-half-marathon-in-2h-40m-with-three-battery-changes-aiming-to-be-a-core-robotics-platform-akin-to-andro/ Description: Tien Kung, a humanoid robot by state-backed X-Humanoid with Xiaomi and UBTech, completes Beijing half marathon in 2h 40m with three battery changes, aiming to be a core robotics platform akin to Android. Content: Tien Kung humanoid robot wins Beijing’s half marathon, finishing 21km in 2h 40m with three battery swaps. Developed by state-backed X-Humanoid, a venture including Xiaomi and UBTech, aims to become “Android” of robotics and seeks to advance core platforms. Source: scmp.com Name Email Subscribe now to keep reading and get access to the full archive. Continue reading Already a member? Log in Images (1):
	Tien Kung, a humanoid robot by state-backed X-Humanoid with Xiaomi …	https://nextbigwhat.com/tien-kung-a-hum…	1	Dec 29, 2025 08:00	active
Tien Kung, a humanoid robot by state-backed X-Humanoid with Xiaomi and UBTech, completes Beijing half marathon in 2h 40m with three battery changes, aiming to be a core robotics platform akin to Android. URL: https://nextbigwhat.com/tien-kung-a-humanoid-robot-by-state-backed-x-humanoid-with-xiaomi-and-ubtech-completes-beijing-half-marathon-in-2h-40m-with-three-battery-changes-aiming-to-be-a-core-robotics-platform-akin-to-andro/ Description: Tien Kung, a humanoid robot by state-backed X-Humanoid with Xiaomi and UBTech, completes Beijing half marathon in 2h 40m with three battery changes, aiming to be a core robotics platform akin to Android. Content: Tien Kung humanoid robot wins Beijing’s half marathon, finishing 21km in 2h 40m with three battery swaps. Developed by state-backed X-Humanoid, a venture including Xiaomi and UBTech, aims to become “Android” of robotics and seeks to advance core platforms. Source: scmp.com Name Email Subscribe now to keep reading and get access to the full archive. Continue reading Already a member? Log in Images (1):