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Lucid Bots Acquires Avianna, Enhancing AI and Autonomous Operations in …
Description: BRISBANE, Australia, Aug. 14, 2025 (GLOBE NEWSWIRE) -- SIMPPLE Australia Pty Ltd, a subsidiary of SIMPPLE Ltd. (NASDAQ: SPPL, 'SIMPPLE”, 'the Company”) and ...
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Leader of Autonomous Driving at DAMO Academy Leaves Company to …
Description: Chen Junbo, the former head of autonomous driving at the Alibaba-backed DAMO Academy, has left his post to start a new business in the outdoor cleaning robots f...
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Robots with brooms cleaning near you, but don't count humans …
Description: Chen Junbo, the former head of algorithm at the Alibaba-backed DAMO Academy, has left his post to start a new business in the outdoor cleaning robots field.
Description: Thiruvananthapuram, June 25: Indian Oil Corporation (IOC) has signed an MoU with Genrobotics to develop robots for internal tank cleaning and inspection at refi...
Description: To improve efficiency and achieve superior cleaning results, Aramark, , a leading global provider of food and facilities services, with operations spanning the ...
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Roborock Releases Two Automatic Cleaning Robots - Pandaily
E-Home Household Service Holdings Limited introduces AI cleaning robots for households, aiming to gradually replace manual cleaning services with robotic solutions
Description: FUZHOU, China, Aug. 29, 2025 /PRNewswire/ -- E-Home Household Service Holdings Limited (NASDAQ:EJH) (the 'Company' or 'eHome'), an integrated home services prov...
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Robots with brooms: Ontario-company Avidbots poised to sweep commercial cleaning …
Description: So, keeping your gutters clear from leaves and gunk is almost definitely a chore that most folks would like to avoid. Thankfully, the marketplace offers gutter ...
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Cleaning Robots Market Forecast to Rise Over Next 7 Years …
Description: Key players covered into the report are Ecovacs Robotics, Samsung Electronics, LG Electronics, Xiaomi, Roborock, Panasonic, Dyson James Ltd., Amano...
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November 15, 2022 06:22 ET | Source: Douglas Insights Douglas Insights Isle of Man - Douglas, Nov. 15, 2022 (GLOBE NEWSWIRE) -- Douglas Insights is expanding and adding a significant number of market reports to its already burgeoning comparison engine. The most prominent recent addition is the cleaning robot market, which is an addition to the engine's database. The reports are a compilation of the kind of information that the client will require. The reports often include drivers, restraints, challenges, and opportunities. Douglas Insights has an array of market research, analysts, and other data and reports that provide a holistic understanding of the market. The database has so much information that it allows clients to make nuanced and well-informed decisions about their ventures. Cleaning robots are some of the most effective vacuums we have seen in recent years. A cleaning robot involves a vacuum that takes up all sorts of different dust particles to clean the room. The robots can generally be hired by residents who are too tired to clean their own spaces. These robots are automated, and they don’t need any sort of additional instructions to be operated. This market will likely grow in the coming years as more people have disposable incomes and can afford to spend their money on cleaning robots. There is also the fact that people are more likely to invest in a cleaning robot for a mundane activity like cleaning and spend their time elsewhere. Other market drivers include an increased demand for equipment that doesn’t have contamination. These machines don’t require any skilled labor, which is why they are so popular among the population. The COVID-19 pandemic, however, had a negative impact on the industry's overall growth. There is a recession ongoing in many parts of the world after the fallout of the pandemic, creating issues for people all over the world. Thus, the number of people with disposable income will likely decline. Thus, this will likely cause people to not invest in cleaning robots. There has also been a major decrease in the accessibility of domestic help services, which is increasing the demand for cleaning robots. However, it is more likely for the demand to rise after there is less of a threat from COVID-19. Examine the report and make your choice: https://douglasinsights.com/cleaning-robot-market Market Drivers The other major drivers include the fact that smart devices are on the rise and have increased their penetration into all kinds of home appliances. The Internet of Things is on the rise, and cleaning robots can also be firmly attached to this narrative. There has also been a lot of development regarding the technology attached to the cleaning robots. The massive technology that comes with MEMS and other sensors is driving market demand. Other reasons for growth in this market also have much to do with the growth of the robotics fields. There are technological advancements all over the field that drive market demand. Also, the Internet of Things and wireless technologies are getting better and better, which helps the market grow even more. There is also an opportunity for growth as these robots reduce the chance of a robbery occurring in a home. Busy schedules often make people keep a permanent housekeeper in their homes, often increasing the chances of a robbery. However, with cleaning robots, there’s no need for you to worry about the presence of a robber within your home. The main limitation of this technology is that fewer people are willing to spend money on such luxuries.In other countries of the world, too, COVID-19 has had a devastating effect, and thus, the robot sales are likely to fall in the coming years and then pick back up again as the recession diminishes. Furthermore, there are also certain challenges that you have to take care of. These challenges are such that there is reduced efficiency when it comes to cleaning robots. These robot systems aren’t very smart, so they won’t always know where spillage is present or cleaning is required. Key players Key players covered into the report are Ecovacs Robotics, Samsung Electronics, LG Electronics, Xiaomi, Roborock, Panasonic, Dyson James Ltd., Amano Corporation, SoftBank Robotics, Makita Corporation, Gaussian Robotics, Matsutek Co., Ltd., Ilife, Milagrow Business & Knowledge Solution (Ptv.) Limited, Maytronics, Miele & Cie. KG, Pentair, iRobot Corporation, Zodiac Pool System LLC Set a budget for a custom project and see offers from publishers all over the world- https://douglasinsights.com/projects Cleaning Robots Market Report Coverage Segmentations BY PRODUCT TYPE BY OFFERING BY COMPONENTS BY UTILITY TYPE BY END-USER Key questions answered in this report Unique data points of this report Table of Content:1 INTRODUCTION 1.1 OBJECTIVES OF THE STUDY 1.2 MARKET DEFINITION 1.3 OVERVIEW OF GLOBAL CLEANING ROBOT MARKET 1.4 CURRENCY AND PRICING 1.5 LIMITATIONS 1.6 MARKETS COVERED 2 MARKET SEGMENTATION 2.1 MARKETS COVERED 2.2 GEOGRAPHICAL SCOPE 2.3 YEARS CONSIDERED FOR THE STUDY 2.4 TRIPOD DATA VALIDATION MODEL 2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS 2.6 MARKET POSITION GRID 2.7 VENDOR SHARE ANALYSIS 2.8 MULTIVARIATE MODELING 2.9 PRODUCT TYPE TIMELINE CURVE 2.1 MARKET APPLICATION GRID 2.11 SECONDARY SOURCES 2.12 ASSUMPTIONS 3 EXECUTIVE SUMMARY 4 PREMIUM INSIGHTS 4.1 CASE STUDIES 5 MARKET OVERVIEW 5.1 DRIVERS 5.1.1 PENETRATION OF AUTOMATION IN HOUSEHOLD APPLIANCES 5.1.2 ADOPTION OF REMOTE CONTROL FOR CLEANING PROCESS IN DEVELOPING COUNTRIES 5.1.3 TECHNOLOGICAL ADVANCEMENT & MODERNIZATION IN THE FIELD OF ROBOTICS 5.1.4 ABILITY OF ROBOTIC VACUUMS TO CLEAN WITHOUT HUMAN INTERFACE ON DIFFERENT SURFACES 5.2 RESTRAINTS 5.2.1 LACK OF DURABLE ROBOTIC VACUUM CLEANER IN MARKET 5.2.2 INTERRUPTION OF ECONOMIC ACTIVITIES WITH DECREASE OF CONSUMER SPENDING IN HOUSEHOLD APPLIANCES DURING COVID-19 5.3 OPPORTUNITIES 5.3.1 INCREASE IN ACQUISITION & PARTNERSHIP FOR CLEANING ROBOTS AMONG ORGANIZATIONS 5.3.2 RISING GOVERNMENT INITIATIVES IN RESEARCH AND DEVELOPMENTS 5.3.3 CHANGE IN APPROACH BY CONSUMER FOR CLEANING AND MAINTENANCE 5.4 CHALLENGES 5.4.1 DESIGN COMPLICATIONS ASSOCIATED WITH ROBOTIC CLEANERS 5.4.2 INABILITY OF CLEANING ROBOTS TO COPE UP WITH OBSTRUCTION WHILE CLEANING 6 IMPACT ANALYSIS OF COVID-19 ON GLOBAL CLEANING ROBOT MARKET 6.1 IMPACT OF COVID-19 ON THE MARKET 6.2 IMPACT ON PRICE & DEMAND 6.3 IMPACT ON SUPPLY CHAIN 6.4 STEPS TAKEN BY MANUFACTURERS DURING COVID-19 SITUATIONS 6.5 CONCLUSION …………….. ToC continued Compare the report and make your decision -https://douglasinsights.com/cleaning-robot-market Inquire Before Buying This Research Report: https://douglasinsights.com/static/contact-us Follow Douglas Insights For More Industry Updates- @ LinkedIn & Twitter About Douglas Insights- Douglas Insights UK limited is the first company to provide comparison of market research reports by Table of content, price, ratings and number of pages. We understand the value of time. Productivity and efficiency are possible when you take prompt and assured decisions. With our advanced algorithm, filters, and comparison engine, you can compare your preferred reports simultaneously, based on publisher rating, published date, price, and list of tables. Our data portal enables you to find and review the reports from several publishers. You can evaluate numerous reports on the same screen and select the sample for your best match. Similar Market Research Report Comparisons: Micro Robots Market: The rising prevalence of chronic diseases and surging adoption of minimally invasive surgical procedures as well as recent regulatory approvals are factors that are accelerating the global market demand. Medical Robots Market: The global medical service robots market report provides a complete industry analysis, market size, market share, growth trends, and forecasts for 2023 to 2028. Underwater Robotics Market: Global underwater robotics market report contains data for the historic year 2020, the base year of calculation is 2021, and the forecast period is 2022 to 2029. Surgical Robots Market: The global surgical robots market is projected to reach US$ 17,647.82 million by 2028 from US$ 6,839.07 million in 2021. It is expected to register a CAGR of 14.8% from 2022 to 2028.
Description: In a key milestone for humane work practises, The Chennai Metropolitan Water Supply and Sewerage Board has completed one year since the deployment of Bandicoot Mobility+ robots for the sewer maintenance in the city.
Description: PNN New Delhi [India], December 8: Innovation: KP Group migrates from manual to Robotics water-less solar panel cleaning to save a minimum of 3,60,000 litres of water per year/MWp; Another step towards protecting the environment; already deployed at nine sites. Show Full Article KP Group has earned a name for its commitment to innovation. The […]
Description: Discover the Future of Cleaning with Dreame Vacuum Robots! In today’s fast-paced world, keeping our homes clean can often feel like a daunting task. Fortunate...
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The Future of Work: How Physical AI Robots Will Transform …
Description: Explore the rise of physical AI robots and their potential to revolutionize daily tasks, from caregiving to household chores, while addressing concerns about job displacement and technological advancements.
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Startups Rhoda AI And Genesis AI Are Building Humanoid Robots …
Description: The artificial intelligence revolution has ignited unprecedented interest in one of technology's most challenging frontiers: humanoid robots. Two secretive
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The artificial intelligence revolution has ignited unprecedented interest in one of technology’s most challenging frontiers: humanoid robots. Two secretive Silicon Valley companies have emerged with substantial funding to develop human-shaped machines aimed at performing tasks typically done by people. Palo Alto-based Rhoda AI and Genesis AI have collectively secured over $300 million in investment capital, joining an increasingly competitive field of companies betting that humanoid robots represent the next major technological breakthrough. With industry titans like Nvidia’s Jensen Huang describing humanoid robots as “potentially one of the largest industries ever,” these startups are racing to overcome the significant engineering challenges that have historically limited the capabilities of bipedal machines. While skeptics warn about premature commercialization, the enormous funding pouring into this sector suggests investors believe humanoid robots could transform industries ranging from manufacturing to household services. Rhoda AI, founded by serial entrepreneur Jagdeep Singh, has quietly built a nearly billion-dollar valuation while developing what they call a “general purpose bimanual manipulation platform” – essentially a humanoid robot with two arms designed for heavy lifting. After raising a $162.6 million Series A round in April, bringing their total funding to $230 million, the company is tackling one of robotics’ most persistent challenges: creating machines capable of lifting substantial weights while maintaining balance and stability. Current humanoid robots typically struggle with loads exceeding 50 pounds, severely limiting their industrial applications. Singh, who previously founded Quantumscape (now a public company valued at nearly $10 billion) and Infinera (acquired by Nokia for $2.3 billion), has assembled a team including Stanford professor Gordon Wetzstein and Vincent Clerc, who previously worked on Softbank’s Pepper robot, suggesting the company is bringing significant technical expertise to the challenge. Genesis AI represents another ambitious entrant in the humanoid robotics space, having secured a remarkable $105 million seed round from prominent investors including Khosla Ventures and former Google CEO Eric Schmidt. Unlike traditional bipedal humanoids, Genesis AI is developing a hybrid approach – robots with two arms but wheels instead of legs, potentially addressing some of the stability and energy efficiency challenges that have plagued walking robots. According to CEO Zhou Xian, the company isn’t building humanoids entirely from scratch but instead working with hardware vendors on custom robots while focusing their internal efforts on the software models that will control these machines. This strategic approach could allow Genesis AI to bring their solutions to market more quickly while developing robots that are “cheaper, lighter and less dangerous” than competitors like Tesla’s Optimus. These newcomers join an increasingly crowded field of well-funded humanoid robotics ventures that have attracted extraordinary investment despite limited commercial deployment to date. Figure AI recently announced it had raised over $1 billion at a staggering $39 billion valuation, while 1X is reportedly raising $1 billion of its own. Meanwhile, Tesla continues development of its Optimus humanoid robot, with CEO Elon Musk repeatedly claiming it will eventually become the most valuable division within Tesla – though reports suggest the project has encountered significant engineering and production challenges. The massive valuations and funding rounds reflect investor optimism that these companies can overcome the technical hurdles that have historically limited humanoid robotics to research labs and demonstration projects rather than practical commercial applications. The surge of investment into humanoid robotics reflects a broader pattern following the remarkable success of large language models like ChatGPT. Investors who witnessed the rapid commercialization and adoption of AI are now seeking the next technological breakthrough, with many betting that robotics represents a natural evolution of artificial intelligence – moving from digital environments to physical embodiment. The potential applications span numerous industries: factory automation, warehouse logistics, elder care, household assistance, and dangerous environments unsuitable for human workers. If these companies succeed in creating reliable, versatile humanoid robots at reasonable cost points, they could transform labor markets and create entirely new categories of products and services. The integration of advanced AI systems with increasingly capable robotic hardware promises machines that can not only follow instructions but potentially learn new tasks through demonstration or natural language guidance. Despite the excitement and unprecedented funding, significant skepticism remains about the timeline for commercial viability of humanoid robots. Kane Hsieh, general partner at Root Ventures who specializes in hardware startups, notes that while investor optimism is driving considerable hype, the rapid progression “from cool, promising research to doing 100 million dollar seed rounds” gives reason for caution. The history of robotics is littered with ambitious projects that encountered unexpected challenges in moving from controlled demonstrations to reliable real-world deployment. The engineering complexities of creating machines that can safely navigate human environments, manipulate objects with precision, and operate autonomously for extended periods remain formidable. Nevertheless, the concentration of talent and capital in companies like Rhoda AI and Genesis AI suggests that humanoid robotics may finally be approaching a breakthrough moment after decades of halting progress. Whether these secretive ventures can deliver on their ambitious visions will likely become clearer in the coming years as they emerge from stealth mode and begin demonstrating their technologies. Save my name, email, and website in this browser for the next time I comment. Type above and press Enter to search. Press Esc to cancel. Login to your account below.
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Rise of robots: Promise of physical AI - The Korea …
Description: TOKYO — A pair of swivelling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a...
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A journalist touches XPeng's next-gen Iron humanoid robotic hand at its headquarters in Guangzhou, southern China's Guangdong province, Nov. 6. AFP-Yonhap TOKYO — A pair of swivelling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a VR headset twirling his hands like a magician. With enough practice, arms like these can complete everyday tasks alone, claims Tokyo company Enactic, which is developing humanoid robots to wash dishes and do laundry in short-staffed Japanese care homes. Welcome to the future of AI as it starts to infiltrate the material world in the form of smart robots, self-driving cars and other autonomous machines. "The next wave of AI is physical AI," Jensen Huang, head of U.S. chip giant Nvidia, said last year. That's "AI that understands the laws of physics, AI that can work among us" and understands "how to perceive the world," Huang added. Tech firms are pouring massive sums into physical AI, and Morgan Stanley predicts the world could have more than a billion humanoid robots by 2050. The buzz is only heightened by videos showing advanced androids, often Chinese-made, dancing to Taylor Swift or pulling heavy objects with ease. Beyond the promise of sci-fi robot butlers, the race has sparked concern over job losses, privacy and how long these innovations will take to actually be useful. Hiro Yamamoto is the 24-year-old CEO of Enactic, whose OpenArm physical AI training devices are used by Nvidia and at top universities such as Stanford. He plans to begin deploying new robots, currently under development, from next summer to "live alongside people in environments that are very chaotic, and where conditions are always changing" like care homes. "So it has to be safe," with a soft exterior that won't injure anyone, Yamamoto said. 'Any human role' In the Chinese city of Guangzhou, a female figure with a glowing oval-shaped visor for a face, clad in white woven fabric like a fencing athlete, walked slowly across a stage last week to cheers and whispers. It was the latest humanoid robot to be unveiled by Chinese electric vehicle maker XPeng, which is also pushing into physical AI. XPeng's next-gen Iron humanoid robot speaks to the media during a showroom tour at its headquarter in Guangzhou, southern China's Guangdong province, Nov. 5. AFP-Yonhap Nimble machines made by U.S. companies, such as Boston Dynamics' dog-like robots, have grabbed headlines over the years. But government support and strong domestic supply chains are helping Chinese rivals, also including Unitree Robotics and EngineAI, race ahead. "I haven't given much thought to how many robots we will sell annually in 10 years' time, but I think it would be more than cars," XPeng CEO He Xiaopeng told reporters. XPeng's robots walk and even dance autonomously — but how well they handle objects, a more complicated feat, has not been widely demonstrated. Their dexterous fingers and flexible skin are unlikely to replace workers on China's factory floors soon, he said. The cost of one robot hand, which needs to be replaced regularly for heavy-duty work, could pay a Chinese worker's salary for years. But with enough data and training, AI humanoid robots could one day perform "almost any human role," from nanny to home chef or gardener, XPeng co-president Brian Gu told AFP. On-the-job training Text-based AI tools like ChatGPT are trained on huge volumes of words, but physical AI models must also grapple with vision and the spatial relationship between objects. For now, remotely operating AI robots to teach them how to do something like picking up a cup is by far the most reliable way to collect data," Yamamoto said. Just 30 to 50 demonstrations of each task are needed to fine-tune "vision-language-action" AI models, he added. Enactic has approached several dozen care facilities in Japan to propose that its teleoperated robots take over menial tasks, so qualified care workers have more time to look after elderly residents. This on-the-job experience will train physical AI models so the robots can act autonomously in the future, Yamamoto said. US-Norwegian startup 1X is taking a similar approach for its humanoid home helper NEO, which it will deliver to American homes from next year. NEO costs $20,000 to buy, but so far its performance is shaky, with one video in U.S. media showing the robot struggling to close a dishwasher door, even when teleoperated. Physical limits In another embarrassing moment, a Russian humanoid robot, said to be the country's first, staggered and then fell flat on its face as it made its debut on stage earlier this week. There is currently a "big gap" between robots' AI systems and their physical abilities, which lag behind, said Sara Adela Abad Guaman, assistant professor in robotics at University College London. "Nature has shown us that in order to adapt to the environment, you need to have the right body," Abad told AFP, giving the example of a mountain goat that stumbles on ice. Nevertheless, big deals are being struck, even as booming investment in artificial intelligence feeds fears of a stock market bubble. Japan's SoftBank recently called physical AI its "next frontier" as it said it was buying industrial robot maker ABB Robotics for $5.4 billion. Automation raises questions about the future of human labor, but Abad is not too worried. At the end of the day, "our sense of touch is incomparable," she said.
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Samsung Aims to Give Humanoid Robots AI-Powered Eyes
Description: The opening match set the tone as AI strategist faced Silk Artisan. Ai strategist’s precisely targeted moves landed with enough force and proficiency to knock...
Description: /PRNewswire/ -- The "AI-based Surgical Robots Market Research Report by Product, Application, and Region - Global Forecast to 2026 - Cumulative Impact of...
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Searching for your content... In-Language News Contact Us 888-776-0942 from 8 AM - 10 PM ET Jan 04, 2022, 08:15 ET Share this article DUBLIN, Jan. 4, 2022 /PRNewswire/ -- The "AI-based Surgical Robots Market Research Report by Product, Application, and Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" report has been added to ResearchAndMarkets.com's offering. The Global AI-based Surgical Robots Market size was estimated at USD 4,876.80 million in 2020, is expected to reach USD 5,487.86 million in 2021, and projected to grow at a CAGR of 12.86% reaching USD 10,082.54 million by 2026.Market Statistics The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period. Competitive Strategic Window The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.FPNV Positioning Matrix The FPNV Positioning Matrix evaluates and categorizes the vendors in the AI-based Surgical Robots Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.Market Share Analysis The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.Company Usability Profiles The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global AI-based Surgical Robots Market, including Accuray Incorporated, Activ Surgical, Inc., Auris Health, Inc., CMR Surgical, Inc., Intuitive Surgical, Inc., Mazor Robotics, Medrobotics Corporation, Medtech Surgical Inc., Medtronic PLC, Smith+Nephew PLC, Stereotaxis, Inc., Stryker Corporation, Titan Medical, Inc., TransEnterix, Inc., and Zimmer Biomet.The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developmentsThe report answers questions such as:1. What is the market size and forecast of the Global AI-based Surgical Robots Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global AI-based Surgical Robots Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global AI-based Surgical Robots Market?4. What is the competitive strategic window for opportunities in the Global AI-based Surgical Robots Market?5. What are the technology trends and regulatory frameworks in the Global AI-based Surgical Robots Market?6. What is the market share of the leading vendors in the Global AI-based Surgical Robots Market?7. What modes and strategic moves are considered suitable for entering the Global AI-based Surgical Robots Market?Key Topics Covered: 1. Preface2. Research Methodology3. Executive Summary4. Market Overview4.1. Introduction4.2. Cumulative Impact of COVID-195. Market Dynamics5.1. Introduction5.2. Drivers5.2.1. Shift in trend towards AI-based approaches in healthcare sector5.2.2. Rapidly increasing patients opting for robotic surgeries5.2.3. Growing adoption of robots by surgeons5.3. Restraints5.3.1. High maintenance cost of robot assisted surgery systems5.4. Opportunities5.4.1. Adoption of technologically advanced robots for surgeries5.4.2. Increasing demand for minimally invasive procedures and robot-assisted surgeries5.5. Challenges5.5.1. Lack of skilled workforce for performing robotic surgery6. AI-based Surgical Robots Market, by Product6.1. Introduction6.2. Accessories6.3. Instruments6.4. Services7. AI-based Surgical Robots Market, by Application7.1. Introduction7.2. General Surgery7.3. Gynecology7.4. Neurology7.5. Orthopedics7.6. Others7.7. Urology8. Americas AI-based Surgical Robots Market8.1. Introduction8.2. Argentina8.3. Brazil8.4. Canada8.5. Mexico8.6. United States9. Asia-Pacific AI-based Surgical Robots Market9.1. Introduction9.2. Australia9.3. China9.4. India9.5. Indonesia9.6. Japan9.7. Malaysia9.8. Philippines9.9. Singapore9.10. South Korea9.11. Taiwan9.12. Thailand10. Europe, Middle East & Africa AI-based Surgical Robots Market10.1. Introduction10.2. France10.3. Germany10.4. Italy10.5. Netherlands10.6. Qatar10.7. Russia10.8. Saudi Arabia10.9. South Africa10.10. Spain10.11. United Arab Emirates10.12. United Kingdom11. Competitive Landscape11.1. FPNV Positioning Matrix11.1.1. Quadrants11.1.2. Business Strategy11.1.3. Product Satisfaction11.2. Market Ranking Analysis11.3. Market Share Analysis, by Key Player11.4. Competitive Scenario11.4.1. Merger & Acquisition11.4.2. Agreement, Collaboration, & Partnership11.4.3. New Product Launch & Enhancement11.4.4. Investment & Funding11.4.5. Award, Recognition, & Expansion12. Company Usability Profiles12.1. Accuray Incorporated12.2. Activ Surgical, Inc.12.3. Auris Health, Inc.12.4. CMR Surgical, Inc.12.5. Intuitive Surgical, Inc.12.6. Mazor Robotics12.7. Medrobotics Corporation12.8. Medtech Surgical Inc.12.9. Medtronic PLC12.10. Smith+Nephew PLC12.11. Stereotaxis, Inc.12.12. Stryker Corporation12.13. Titan Medical, Inc.12.14. TransEnterix, Inc.12.15. Zimmer Biomet13. Appendix For more information about this report visit https://www.researchandmarkets.com/r/ge12iv Media Contact: Research and Markets Laura Wood, Senior Manager [email protected] For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900 U.S. Fax: 646-607-1907 Fax (outside U.S.): +353-1-481-1716 SOURCE Research and Markets http://www.researchandmarkets.com Do not sell or share my personal information:
Description: Robots Stealing Your Job? Amazon’s AI Playbook. Is your job next? Amazon’s robot revolution is closer than you think, and it’s about to rewrite the rules ...
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AI Robots Transform Industries in 2025: $258B Market by 2035
Emerging Role of Robots in Modern Industries In the rapidly evolving world of technology, robots are increasingly viewed not as novelties but as essential tools driving efficiency across sectors. As we approach the latter half of 2025, advancements in robotics are transforming how businesses operate, from manufacturing floors to service industries. According to a recent article on TechXplore, experts highlight how these machines are becoming integral to daily operations, emphasizing their role in enhancing productivity and reducing human error. This shift is propelled by breakthroughs in artificial intelligence and machine learning, allowing robots to handle complex tasks with unprecedented precision. The integration of AI into robotics has enabled real-time decision-making and adaptive behaviors. For instance, robots now perform predictive maintenance, anticipating failures before they occur, which minimizes downtime in industrial settings. Publications like the International Federation of Robotics have noted in their Top 5 Global Robotics Trends 2025 that generative AI is creating a “ChatGPT moment” for physical AI, simulating environments to train robots for diverse applications. This is evident in sectors like automotive and warehousing, where task-specific robots are outpacing general-purpose humanoids in practical deployment. AI-Driven Autonomy and Human-Robot Collaboration Enhanced autonomy is a cornerstone of 2025’s robotic advancements. Robots equipped with advanced AI can interpret data, recognize patterns, and adapt to environmental changes dynamically. Robotnik’s report on Robotic Trends in 2025 underscores how this leads to cost reductions and improved operational efficiency. In collaborative settings, or “cobots,” humans and robots work side by side, with AI facilitating seamless communication. This evolution is particularly transformative in precision manufacturing, where articulated robots dominate, as detailed in a GlobeNewswire analysis projecting the market to hit $87.93 billion by 2032, driven by automation in automotive and electronics. Moreover, fast-learning robots are accelerating this trend. MIT Technology Review’s feature on 10 Breakthrough Technologies 2025 explains how AI advances allow robots to learn new tasks almost instantly, bypassing traditional lengthy training periods. This capability is crucial for industries requiring flexibility, such as logistics, where robots handle variable payloads with high repeatability. Market Projections and Geopolitical Implications Looking ahead, the global robot market is forecasted to reach $258.3 billion by 2035, exhibiting a 16.6% CAGR, according to Future Market Insights. This growth is fueled by innovations like humanoid robots, though experts like Aurotek’s chairman suggest task-specific models will lead in 2025 due to lower costs and higher yields. Posts on X reflect public sentiment, with users discussing how humanoid robots could flood markets, potentially causing abundance but also geopolitical shifts by equalizing labor costs worldwide. However, challenges remain, including ethical concerns and scalability. WebProNews’s overview of 2025 Tech Trends warns of regulatory hurdles and the need for investments in talent and infrastructure. In healthcare and logistics, sustainable robotics are gaining traction, promising to reshape supply chains. Innovations in Dexterity and Real-World Applications Robotic dexterity is set for major leaps, as noted in X posts from influencers like Mario Nawfal, who predict huge advances in the next year, enabling robots to operate in uncertain environments with improved safety. Technologies like “roboforming,” using dual robotic arms for metal shaping without molds, could revolutionize U.S. manufacturing by speeding up production launches. Finally, as robots evolve into versatile tools, their impact on human life is profound. Simplilearn’s article on The Future of Robotics explores how AI integration will make robots invisible in everyday use, much like smartphones today. Industry insiders must navigate these advancements carefully, balancing innovation with workforce implications to harness their full potential. Subscribe for Updates 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.
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Robots entertain and assist at China AI expo | Pakistan …
Humanoid robots took center stage at Shanghai’s World AI Conference (WAIC), showcasing China’s growing strength in artificial intelligence. From playing drums to serving drinks and boxing, these robots demonstrated a variety of increasingly sophisticated skills, thrilling attendees at the annual event. The exhibition, attended by over 800 companies, highlighted more than 3,000 products, with humanoid robots capturing the most attention for their party tricks. One robot played a slightly offbeat drum solo to Queen’s “We Will Rock You,” entertaining a lively crowd. China has made substantial investments in robotics, with some experts believing the country may have surpassed the U.S. in this area. At the Unitree booth, its G1 android performed acrobatic moves, such as kicking and pivoting, showcasing impressive agility. Unitree also revealed plans to launch a full-sized humanoid robot, the R1, priced under $6,000. Tech giant Baidu introduced advancements in “digital humans,” AI agents designed to think, make decisions, and collaborate. While the event emphasized technological progress, few visitors seemed concerned about the potential risks of these developments, focusing instead on the exciting applications of AI, from data-driven platforms to innovative robots with real-world functionality. The Chinese government continues to pour support into the robotics sector, with AI and automation playing a key role in shaping the country’s technological future. Save my name, email, and website in this browser for the next time I comment.
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AI-Driven Robots Are Rewriting The Factory Rulebook
Description: The cognitive industrial revolution is an unparalleled economic disruption that will require timely knowledge and investment by leaders.
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ByDr. Jonathan Reichental, Contributor. We are entering a new industrial revolution, the cognitive industrial revolution, where manufacturing is again being transformed through a convergence of technologies such as artificial intelligence (AI), advanced robots, data, digital twins, and the internet-of-things (IoT). This revolution builds on the progress of the past by further automating, optimizing, and integrating intelligence into every aspect of production. It’s an unparalleled economic disruption that will require timely knowledge and investment by leaders. At the leading edge of this revolution is the increasing adoption of robots. But these aren’t the robots of the past. These are machines embedded with AI, something we now call physical AI, and behave with increasing amounts of agility and autonomy. A lot of us find robots fascinating and it’s probably because they occupy an outsized role in contemporary science fiction literature and movies. For many, a combination of the Daleks from BBC’s Doctor Who, and the droids, C3PO and R2D2 from Star Wars, form some early impressions. These narrow representations of robots probably limited our views of what role they could play in real life. The term robot means, surprisingly, but perhaps aptly, forced labor, and it’s derived from the Czech word, Robota, first used in Karel Capek’s 1920’s play, “Rossum’s Universal Robots.” Robots are defined as mechanical machines, particularly those that are controlled by a computer and carry out complex actions. Robots can look like humans, we call them humanoids, but they’re just as likely to take the form of a Roomba device that vacuums carpet, a single arm that welds metal joints in a factory, or a laparoscope in a hospital operating room. While there’s a rich history of experimental and functional robots, most agree that the first computer-based production robot was invented in 1954 by George Devol and was called the Unimate. One of its first jobs was at General Motors in Trenton, New Jersey, where it was tasked with lifting and stacking hot pieces of metal from a die-casting machine. Today, robots are common in production line automation in the manufacturing industry. Other high use areas include food processing, healthcare, warehousing, and logistics. A peep into an Amazon fulfillment center illuminates the pervasiveness of robot use where they rapidly search for, identify, pick up, move, and pack products. Remarkably, across their organization, Amazon has over 750,000 robots performing these actions and more. Today, significantly improved engineering coupled with AI is ushering in a new generation of robots and the era of cognitive manufacturing. These machines can perceive the world around them, make decisions and act autonomously to a degree, all while performing impressive movement. With less constraints, robots are showing success in mimicking a wide variety of human tasks. Many organizations are experimenting with and already deploying humanoids in areas such as human collaboration—the term cobot is used to describe when a robot assists a human in their work, and in a manufacturing context where tasks are dangerous, repetitive, or require significant strength. Perhaps the most striking development in cognitive manufacturing and robotics is the emergence of dark factories or lights-out manufacturing. This is when the entire production process operates independent of human participation. You could think of it as the ultimate end-state of automation. In these facilities, physical AI and smart machines are responsible for all aspects of production and they operate 24/7. With no humans, there is no need for salaries and health insurance, and no expenses such as heat and light, resulting in significant cost savings. The notion of workplace accidents goes away. The promise of the cognitive industrial revolution is a world where humanoids and other robots conduct complex artificial general intelligence (AGI) tasks in a fully autonomous fashion in every industry. This is also when robots will regularly and with ease do housework, babysit, cook food, deliver healthcare, and even provide companionship. Various projections suggest that in the years ahead there will be millions, perhaps even billions, of humanoids working alongside and as replacements for humans. Planning for a future of intelligent robots means thinking about how they might transform your industry, what it means for the future of work, and how it may change the relationship between humans and technology. Leaders must consider the ethical issues of cognitive manufacturing such as job disruption and displacement, accountability when things go wrong, and the use of surveillance technology when, for example, robots use cameras working alongside humans. The cognitive industrial revolution, like the industrial revolutions before it, will transform almost every aspect of our world, and change will happen faster and sooner than most expect. Consider for a moment, what will it take for each of us and our organizations to be ready for this future?
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Google DeepMind Adds Agentic Capabilities to AI for Robots
Google DeepMind introduced two artificial intelligence models to help developers build robots that can understand their environment and perform complex tasks. 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 new models build upon the Gemini Robotics models the company introduced in March by adding advanced thinking that enables agentic experiences, according to a Thursday (Sept. 25) blog post. The new Gemini Robotics 1.5 is a vision-language-action (VLA) model that turns visual information and instructions into motor commands, while the new Gemini Robotics-ER 1.5 is a vision-language model (VLM) that creates multistep plans to complete a mission, the post said. Gemini Robotics-ER 1.5 was made available to developers Thursday, while Gemini Robotics 1.5 is offered to only select partners, per the post. Carolina Parada, senior engineering manager at Google AI, said in the post that these models mark “a foundational step toward building robots that can navigate the complexities of the physical world with intelligence and dexterity.” “Gemini Robotics 1.5 marks an important milestone toward solving AGI in the physical world,” Parada said. “By introducing agentic capabilities, we’re moving beyond models that react to commands and creating systems that can truly reason, plan, actively use tools and generalize.” Advertisement: Scroll to Continue PYMNTS reported in March that robots are now in fashion in Silicon Valley, as large language models are giving robots the capability to understand natural language commands and do complex tasks. In addition to Google DeepMind’s Gemini Robotics, Meta’s PARTNR, Nvidia’s Isaac Groot N1, Tesla’s Optimus and a slew of AI robotics startups like Figure AI and Cobot are developing humanoid robots that can do general tasks. FieldAI said Aug. 20 that it raised $405 million in two consecutive rounds to accelerate the global adoption of its general-purpose robots. The company said it is developing a single software brain that can power a variety of robots, and its robots are currently operating on a day-to-day basis in construction, manufacturing, urban delivery and inspection. In July, Skild AI introduced an AI model it said can run on almost any robot. The company said its Skild Brain lets different kinds of robots think, function and respond more like humans. For all PYMNTS AI coverage, subscribe to the daily AI Newsletter. Zip Says Agentic Procurement Orchestration Platform Processed $355 Billion in Spend Klarna Expands BNPL Presence in Furniture Category with Cozey Partnership Big Tech Broadens AI Footprint from Local PC Agents to Super Factories Mistral Releases New Family of AI Models, Promoting Performance-to-Cost Ratio We’re always on the lookout for opportunities to partner with innovators and disruptors.
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Google Is Putting Its Gemini AI Into Robots - CNET
Description: We explore Google's work with AI and robotics, including the company's Aloha 2 robots, partnerships with humanoid robot developers and more.
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We explore Google's work with AI and robotics, including the company's Aloha 2 robots, partnerships with humanoid robot developers and more. At Google's recent I/O developer conference, the tech giant featured a demo of its Gemini AI animating Aloha 2 robots. Developers describe these robotic arms as a relatively low-cost option for teleoperation and data gathering and a full tabletop setup costs more than $30,000. The demo was part of Google's AI Sandbox and featured two pairs of Aloha 2 robot arms, cameras and microphones where visitors could give the robots instructions. To see the robots in action and a deep dive on how Google is integrating its AI into robotics, check out the video in this article. Google's Gemini AI animates a pair of Aloha 2 robot arms as they attempt to hand out a gift bag.
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Chinese AI Robots Everywhere By the 2050s: Are you Ready?
Description: Chinese AI Robots Everywhere By the 2050s: Are you Ready? Creatix / November 8, 2026 AI Robots Everywhere by the 2050s: Are You Ready? By the 2050s, artificial ...
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Swarms of AI robots could extend human capabilities
Description: To what extent might robots be able to act as extensions of our bodies? Scientists are exploring how to integrate AI agents with A physical form and human-like senses into our lives.
Description: LG Electronics introduced its LG CLOi robot featuring Google's generative AI, Gemini, showcasing the its initiative to provide advanced robot servi...
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Seen are LG Electronics’ CLOi GuideBot robots. LG said Thursday that it has collaborated with Google to deploy the U.S. tech firm’s generative AI Gemini to its guide robots. Courtesy of LG Electronics LG Electronics introduced its LG CLOi robot featuring Google's generative AI, Gemini, showcasing the its initiative to provide advanced robot services with enhanced intelligence, the company said Thursday. At the Google Cloud Summit Seoul event, LG introduced the Gemini-powered CLOi GuideBot. LG said this is the first time generative AI has been incorporated into CLOi robots. Gemini can receive user commands in various ways, including text, voice, images and coding. At the annual conference, LG demonstrated to visitors the robot's AI chatbot function that naturally answers questions and generates photo images through voice commands. LG plans to launch the LG CLOi GuideBot equipped with Google's generative AI within this year, while also expanding the application of generative AI functions to its existing guide robots through wireless software updates. While the CLOi robots launched so far can perform various roles such as visitor guidance, advertising and security based on pre-populated data, they can only answer limited questions that are not pre-populated. With enhanced language capabilities through generative AI, the CLOi robots strengthen their communication functions by autonomously generating various questions that arise in conversations with users. They can also provide natural answers to unexpected questions through searches, enabling more accurate responses to customer inquiries. LG expects robots to evolve to perform more creative and complex tasks with generative AI. The company plans to increase its presence in the market expected to grow to $64.35 billion by 2030, according to data by Statista. "Through the synergy of LG Electronics' advanced AI robot technology capabilities and big tech companies' AI platform technology, we will lead innovation in customer experience in the robot business," Roh Kyu-chan, head of the robot business division of LG, said. LG has been accelerating the establishment of a robot ecosystem. The company has been developing the robotics business in various spaces, such as airports, hotels, restaurants, hospitals, retail stores and warehouses.
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Tickeron's Marketplace Launches AI Robots for Trading Cryptocurrencies - Benzinga
Description: SUNNYVALE, Calif., Jan. 18, 2022 (GLOBE NEWSWIRE) -- Tickeron,inc. the quant-sourced marketplace for AI stock trading tools, adds a new feature to be used by active traders. "AI Robots" are automated trading
Description: TOKYO — A pair of swivelling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a...
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A journalist touches XPeng's next-gen Iron humanoid robotic hand at its headquarters in Guangzhou, southern China's Guangdong province, Nov. 6. AFP-Yonhap TOKYO — A pair of swivelling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a VR headset twirling his hands like a magician. With enough practice, arms like these can complete everyday tasks alone, claims Tokyo company Enactic, which is developing humanoid robots to wash dishes and do laundry in short-staffed Japanese care homes. Welcome to the future of AI as it starts to infiltrate the material world in the form of smart robots, self-driving cars and other autonomous machines. "The next wave of AI is physical AI," Jensen Huang, head of U.S. chip giant Nvidia, said last year. That's "AI that understands the laws of physics, AI that can work among us" and understands "how to perceive the world," Huang added. Tech firms are pouring massive sums into physical AI, and Morgan Stanley predicts the world could have more than a billion humanoid robots by 2050. The buzz is only heightened by videos showing advanced androids, often Chinese-made, dancing to Taylor Swift or pulling heavy objects with ease. Beyond the promise of sci-fi robot butlers, the race has sparked concern over job losses, privacy and how long these innovations will take to actually be useful. Hiro Yamamoto is the 24-year-old CEO of Enactic, whose OpenArm physical AI training devices are used by Nvidia and at top universities such as Stanford. He plans to begin deploying new robots, currently under development, from next summer to "live alongside people in environments that are very chaotic, and where conditions are always changing" like care homes. "So it has to be safe," with a soft exterior that won't injure anyone, Yamamoto said. 'Any human role' In the Chinese city of Guangzhou, a female figure with a glowing oval-shaped visor for a face, clad in white woven fabric like a fencing athlete, walked slowly across a stage last week to cheers and whispers. It was the latest humanoid robot to be unveiled by Chinese electric vehicle maker XPeng, which is also pushing into physical AI. XPeng's next-gen Iron humanoid robot speaks to the media during a showroom tour at its headquarter in Guangzhou, southern China's Guangdong province, Nov. 5. AFP-Yonhap Nimble machines made by U.S. companies, such as Boston Dynamics' dog-like robots, have grabbed headlines over the years. But government support and strong domestic supply chains are helping Chinese rivals, also including Unitree Robotics and EngineAI, race ahead. "I haven't given much thought to how many robots we will sell annually in 10 years' time, but I think it would be more than cars," XPeng CEO He Xiaopeng told reporters. XPeng's robots walk and even dance autonomously — but how well they handle objects, a more complicated feat, has not been widely demonstrated. Their dexterous fingers and flexible skin are unlikely to replace workers on China's factory floors soon, he said. The cost of one robot hand, which needs to be replaced regularly for heavy-duty work, could pay a Chinese worker's salary for years. But with enough data and training, AI humanoid robots could one day perform "almost any human role," from nanny to home chef or gardener, XPeng co-president Brian Gu told AFP. On-the-job training Text-based AI tools like ChatGPT are trained on huge volumes of words, but physical AI models must also grapple with vision and the spatial relationship between objects. For now, remotely operating AI robots to teach them how to do something like picking up a cup is by far the most reliable way to collect data," Yamamoto said. Just 30 to 50 demonstrations of each task are needed to fine-tune "vision-language-action" AI models, he added. Enactic has approached several dozen care facilities in Japan to propose that its teleoperated robots take over menial tasks, so qualified care workers have more time to look after elderly residents. This on-the-job experience will train physical AI models so the robots can act autonomously in the future, Yamamoto said. US-Norwegian startup 1X is taking a similar approach for its humanoid home helper NEO, which it will deliver to American homes from next year. NEO costs $20,000 to buy, but so far its performance is shaky, with one video in U.S. media showing the robot struggling to close a dishwasher door, even when teleoperated. Physical limits In another embarrassing moment, a Russian humanoid robot, said to be the country's first, staggered and then fell flat on its face as it made its debut on stage earlier this week. There is currently a "big gap" between robots' AI systems and their physical abilities, which lag behind, said Sara Adela Abad Guaman, assistant professor in robotics at University College London. "Nature has shown us that in order to adapt to the environment, you need to have the right body," Abad told AFP, giving the example of a mountain goat that stumbles on ice. Nevertheless, big deals are being struck, even as booming investment in artificial intelligence feeds fears of a stock market bubble. Japan's SoftBank recently called physical AI its "next frontier" as it said it was buying industrial robot maker ABB Robotics for $5.4 billion. Automation raises questions about the future of human labor, but Abad is not too worried. At the end of the day, "our sense of touch is incomparable," she said.
Description: Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more.
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In that same way Gemini can produce text, write poetry, summarize an article, write code, and generate images, it can also generate robot actions with Gemini Robotics. Now, the new Gemini Robotics On-Device model eliminates the need for a network connection, and its full SDK allows roboticists to train robots with new tasks. In March, Google launched Gemini Robotics in order to bring Gemini’s capacity for multimodal reasoning and world understanding into the physical world and enable robots of any shape and size to perform a wide range of real-world tasks. It introduced two new AI models. The first is Gemini Robotics, an advanced vision-language-action (VLA) model based on Gemini 2.0 with the addition of physical actions as a new output modality for the purpose of directly controlling robots. The second is Gemini Robotics-ER, a Gemini model with advanced spatial understanding, enabling roboticists to run their own programs using Gemini’s embodied reasoning (ER) abilities. At the time these models could only run on powerful computing systems which meant connecting to remote data centers in the cloud for processing. This precluded their use by robots that didn't have access to the internet, or only had intermittent access. Nor did it cater for situations where real-time operating requirements couldn't cope with network latency - in other words, the pauses between the robot being given commands and acting on them while it connects to the cloud network. Now, the team at DeepMind has introduced Gemini Robotics On-Device, a robotics foundation model for bi-arm robots, engineered to require minimal computational resources. Like the previous models, On-Device is a powerful VLA that helps robots understand the world around them and has been designed for rapid experimentation with dexterous manipulation. It is adaptable to new tasks through fine-tuning to improve performance and is optimized to run locally with low-latency inference. Gemini Robotics On-Device achieves strong visual, semantic and behavioral generalization across a wide range of testing scenarios, follows natural language instructions, and completes highly-dexterous tasks like unzipping bags or folding clothes — all while operating directly on the robot. Aside from adapting to new tasks, the On-Device model can also adapt to different robot types. Though originally trained on ALOHA robots, the model has been successfully fine-tuned to control other robotic systems like the dual-arm Franka FR3 and the Apollo humanoid by Apptronik, pictured above. In each case, it maintained its ability to generalize across different tasks. Despite its smaller footprint, Gemini Robotics On-Device has been demonstrated to deliver impressive performance. It exhibits strong generalization across a range of complex real-world tasks and responds to natural language instructions with precision. Tasks like unzipping bags, folding clothes, and assembling industrial components can now be performed with a high degree of dexterity — all without relying on remote servers. DeepMind is also launching a Gemini Robotics SDK, allowing developers to evaluate the model in simulated environments using the MuJoCo physics engine and quickly fine-tune it for their own specific use cases. It has been shown that the model can adapt to new tasks using just 50 to 100 demonstration examples. As we have already seen with Boston Dynamics Altas, combining AI with robots can be transformative, making them useful in all the ways we have been imagining for them. The day of the robot is getting closer. Gemini Robotics Gemini Robotics On-Device brings AI to llocal robotic devices Atlas Learns To Be UsefulAtlas In Action With Reinforcement Learning To be informed about new articles on I Programmer, sign up for our weekly newsletter, subscribe to the RSS feed and follow us on Twitter, Facebook or Linkedin. To be informed about new articles on I Programmer, sign up for our weekly newsletter, subscribe to the RSS feed and follow us on Twitter, Facebook or Linkedin. Project SPARROW Takes Off28/11/2025Fundación Biodiversa in Colombia has become the first pilot of Microsoft's Project SPARROW. SPARROW, developed by Microsoft's AI for Good Lab, is an AI-powered edge computing solution designed to mon [ ... ] + Full Story JetBrain's Developer Productivity AI Arena Is A Game Changer20/11/2025DPAI is an open platform for benchmarking AI coding Agents. Haven't we got enough benchmarks and evaluations already? + Full StoryMore NewsResearchers Use AI And Robot Dogs To Detect WildfiresGoogle Releases Log Analytics Query BuilderAspire Adds Support For More LanguagesKotlin 2.3 Improves Swift InteropGoogle Announces BigQuery-Managed AI FunctionsSwift SDK For Android Now In PreviewAmazon Updates From re:InventAcquire New Skills With Coursera Plus & Coursera Coach.NET 10, C# 14 and F# 10 Released Alongside Visual Studio 2026Shuttle Launches NeptuneItential Unveils FlowAI: Bringing Governed AI Agents to Infrastructure OrchestrationA Pico For the HolidaysCursor 2 Enables Multi-Agent Working Fundación Biodiversa in Colombia has become the first pilot of Microsoft's Project SPARROW. SPARROW, developed by Microsoft's AI for Good Lab, is an AI-powered edge computing solution designed to mon [ ... ] Fundación Biodiversa in Colombia has become the first pilot of Microsoft's Project SPARROW. SPARROW, developed by Microsoft's AI for Good Lab, is an AI-powered edge computing solution designed to mon [ ... ] DPAI is an open platform for benchmarking AI coding Agents. Haven't we got enough benchmarks and evaluations already? DPAI is an open platform for benchmarking AI coding Agents. Haven't we got enough benchmarks and evaluations already? Comments Make a Comment or View Existing Comments Using Disqus or email your comment to: comments@i-programmer.info Make a Comment or View Existing Comments Using Disqus or email your comment to: comments@i-programmer.info
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ChatGPT Successors: AI Lawyers, AI-Driven Science, Humanoid Robots
Description: /PRNewswire/ -- The "Artificial Intelligence (AI) Robots - Global Market Trajectory & Analytics" report has been added to ResearchAndMarkets.com's offering....
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Searching for your content... In-Language News Contact Us 888-776-0942 from 8 AM - 10 PM ET Dec 06, 2021, 10:45 ET Share this article DUBLIN, Dec. 6, 2021 /PRNewswire/ -- The "Artificial Intelligence (AI) Robots - Global Market Trajectory & Analytics" report has been added to ResearchAndMarkets.com's offering. Global Artificial Intelligence (AI) Robots Market to Reach $21.4 Billion by 2026 The global market for Artificial Intelligence (AI) Robots estimated at US$5.2 Billion in the year 2020, is projected to reach a revised size of US$21.4 Billion by 2026, growing at a CAGR of 25.4% over the analysis period. Software, one of the segments analyzed in the report, is projected to grow at a 24.6% CAGR to reach US$13.7 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Hardware segment is readjusted to a revised 26.4% CAGR for the next 7-year period. This segment currently accounts for a 43.2% share of the global Artificial Intelligence (AI) Robots market. Companies in industries for which labor costs are the highest among costs are increasingly adopting AI robots. Companies in specialized fields that need top talent are expected to adopt AI integrated robots. Emergence of new tools for analysis of big data is also expected to contribute to market growth for AI in robots going forward.Strong growth is anticipated for the market for AI in robotics over the coming years as industries recognize the powerful combination of the two technologies offering several benefits in automation of processes and tasks. AI in robotics enables industries to become increasingly flexible in their processes. The technology provides robots with the learning ability critical for applications. Companies would be able to considerably increase productivity, save time and also make workplace safer for human workers. AI and robotics combination can also enhance potential of human workers. The step ahead for AI would be augmented intelligence which would seamlessly link machine with machine for further productivity gains. Companies use robots as they are more productive in performing repetitive activities. Tasks can be performed with extreme precision and at great speeds. When integrated with AI, such robots get to learn processes and then perform tasks on their own, without human intervention. This benefit would emerge as the major growth driver for AI in robotics going forward.The U.S. Market is Estimated at $2.2 Billion in 2021, While China is Forecast to Reach $2.6 Billion by 2026 The Artificial Intelligence (AI) Robots market in the U.S. is estimated at US$2.2 Billion in the year 2021. The country currently accounts for a 31.36% share in the global market. China, the world second largest economy, is forecast to reach an estimated market size of US$2.6 Billion in the year 2026 trailing a CAGR of 28.6% through the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 21.6% and 24.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 23.9% CAGR while Rest of European market (as defined in the study) will reach US$3.2 Billion by the close of the analysis period.Key Topics Covered: I. METHODOLOGYII. EXECUTIVE SUMMARY1. MARKET OVERVIEW 2. FOCUS ON SELECT PLAYERS (Total 202 Featured) 3. MARKET TRENDS & DRIVERS 4. GLOBAL MARKET PERSPECTIVE III. REGIONAL MARKET ANALYSIS IV. COMPETITION For more information about this report visit https://www.researchandmarkets.com/r/j276zu Media Contact: Research and Markets Laura Wood, Senior Manager [email protected] For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900 U.S. Fax: 646-607-1907 Fax (outside U.S.): +353-1-481-1716 SOURCE Research and Markets http://www.researchandmarkets.com Do not sell or share my personal information:
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Global Artificial Intelligence (AI) Robots Market Report 2021-2026: AI Robots …
Description: DUBLIN, Dec. 6, 2021 /PRNewswire/ -- The "Artificial Intelligence (AI) Robots - Global Market Trajectory & Analytics" report has been added to
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NVIDIA announces plan for AI-powered ‘humanoid robots’ — RT Entertainment
Description: AI Is the Future With Robots How I See the Next Era of Work, Life, and Technology When people talk about AI, they usually imagine chatbots, smart assistants, or...
Description: AI robots are intelligent machines that combine robotics with artificial intelligence, enabling them to perform tasks with accuracy, adaptability, and autonomy.
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Tesla to produce ‘humanoid’ robots next year – Musk — …
Description: Recently, recruitment platform information shows that Ant Group is recruiting for positions related to embodied intelligent humanoid robot systems and applications.
Description: Chinese robotics company Unitree has revealed its much larger humanoid robot, the H2, can fight. We dig into all the hidden details in the company's latest demo videos.
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Chinese robotics company Unitree has revealed its much larger humanoid robot, the H2, can fight. We dig into all the hidden details in the company's latest demo videos. New video from Unitree shows their nearly 6-foot humanoid robot throwing punches, kicks, knees and literally breaking pieces off of the company's much smaller G1 humanoid. Unitree first revealed it had been training its comparatively short G1 robots to fight earlier this year, but seeing the same kickboxing moves and similar agility in a full-size humanoid is jarring. I wouldn't want to see this coming at me. The robotics company has been making a name for itself through viral videos and tests of agility, as well as taking home the most gold medals of any company at China's first World Humanoid Robot Games earlier this year. In addition to showing its H2 in fight mode, hidden details in recent demos also shine a light on Unitree's teleoperation system, how new hands are unlocking new capabilities, and what may be coming next in the rapidly evolving world of humanoid robots. To see the robots in action and our deep-dive analysis, check out the video in this article above. Don't miss any of our unbiased tech content and lab-based reviews. Add CNET as a preferred Google source.
Description: AI-powered humanoid robots faced off in a 3-on-3 game of soccer in Beijing, as a preview for the upcoming World Humanoid Robot Games set to kick off in August in China’s capital. The robots were completely autonomous, and were even designed to stand up on their own after falling, but some still had to be helped off the field on stretchers.
Description: The silicone heads of humanoid robots are shockingly realistic. The developers think they will one day be used to help mental health.
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The silicone heads of humanoid robots are shockingly realistic. The developers think they will one day be used to help mental health. Tuesday 11 June 2024 10:40, UK A factory in China is developing hyper-realistic humanoid robots that could be used in psychotherapy and counselling. In the factory in China's northeastern coastal city of Dalian, neck-length silicone masks lie alongside silicone arms and feet, while disembodied heads sit on display and humanoid robots in various stages of construction stand nearby. Drawings of robot designs adorn a wall. Humanoid robots are the most complex type of robot to build and these ones use artificial intelligence to learn how to recognise human behaviour and mimic it. "There are many basic models and algorithms that are commonly open source, which everyone uses," says Ex-Robot chief executive Li Boyang. "However, we concentrate more on how to enable the AI to recognise and express expressions and emotions." As an Ex-Robots worker moves her head, smiles and sticks out her tongue, a humanoid robot mimics her movement thanks to tiny motors installed in several spaces in its head. OpenAI bags Disney characters for Sora short video app Apple's AI chief steps down as company falls behind in tech race Bigger than COVID? The graph that explains why AI is going to be so huge "The model we're making is multi-modal and capable of emotional expression. It can perceive the surrounding environment and produce appropriate facial feedback," says Li. Read more from Sky News:23andMe investigated over data breachGlowing dye helps find cancer cellsHow the young are engaging with election It takes from two weeks to a month to produce a humanoid robot, with prices ranging from 1.5 million yuan (£162,000) to 2 million yuan. Li believes humanoid robots will be integrated into healthcare and education. "Psychological counselling and health are certainly future application scenarios. We are currently conducting research such as auxiliary treatment and preliminary screening for emotional and psychological disorders," he says. Keep up with all the latest news from the UK and around the world by following Sky News Be the first to get Breaking News Install the Sky News app for free "Moreover, I believe that emotional interaction has broader applications in service fields, such as those aimed at children."
Description: Tech News News: Nvidia introduces Project GR00T, a foundation model for humanoid robots, alongside Jetson Thor and Isaac platform upgrades. The collaboration with ind
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Humanoid Horizon: Why Robots Are Our Next Inescapable Neighbours And …
Technology Amit Mishra Mar 26, 2025, 03:56 PM GMT+5:30 | Updated 04:10 PM GMT+5:30 Save & read from anywhere! Bookmark stories for easy access on any device or the Swarajya app. The tech world, buzzing with excitement over advances in artificial intelligence, saw three major headlines last week: —On March 15, American robotics company Figure AI unveiled BotQ — a first-generation, high-volume manufacturing facility capable of producing up to 12,000 humanoid robots per year. —That same day, Chinese home appliance giant Midea Group made waves by debuting its own self-developed humanoid prototype, marking its entry into the race for robotic innovation. —Then, on March 16, Chinese start-up Unitree made headlines with its acrobatic humanoid — affectionately dubbed the "kung fu bot" — impressing the industry by executing the first-ever successful robotic side flip. The company released a video showcasing the G1's ability to perform a standing side flip — a move even more complex than the standing backflip achieved by its predecessor, the Unitree H1, in March 2024. World's First Side-Flipping Humanoid Robot: Unitree G1 ðOne year after Unitree H1 (1.8m) pioneered the first standing backflip by an electric humanoid robot (March 2024). Meet the Unitree G1 â now flawlessly conquering an even more challenging standing side flip. (Zero⦠pic.twitter.com/dRFRkmOjTp These rapid-fire announcements from both the US and China signal one thing loud and clear: the technology behind humanoid robots — AI-powered machines with humanlike forms — is maturing more rapidly than many expected. The dream of mass production may no longer be a distant fantasy but an imminent reality. Robots, of course, are nothing new. The very word "robot" first appeared over a century ago, in Karel Čapek's 1920 play Rossum's Universal Robots, describing human-like machines designed for mundane labour. Since then, technological innovation has pushed robotics far beyond basic industrial functions. Today, the idea of humanoid robots in our workplaces and homes is no longer far-fetched. Though still in development, humanoid technology is accelerating — fuelled by the powerful convergence of robotics and artificial intelligence (AI) — bringing industry leaders closer to mass production, real-world applications, and widespread market entry. But First, What Is A Humanoid? Before diving into why the world is racing to create humanoid robots, let’s break things down: What exactly makes a robot "humanoid"? Does it just need to look human, or does it need to act human too? At its core, a humanoid robot is a general-purpose, bipedal machine designed to resemble the human form and work alongside us — enhancing productivity. These robots are built to learn and perform a diverse range of tasks: gripping objects, moving containers, loading and unloading boxes, and more. Of course, “resembling the human form” can mean different things to different people. Some robots simply feature a head, torso, arms, and legs, while others go further — imitating human expressions and movements. What truly sets humanoids apart, though, are three defining traits: locomotion, dexterity, and intelligence. Locomotion (or gross motor skills) lets these robots navigate human-oriented environments, such as navigating steps and uneven floors and avoiding obstacles. Dexterity, or fine motor skills, enables them to interact in useful ways with their environment to perform specific tasks such as picking up fragile objects without damaging them. Intelligence allows humanoid robots to independently perceive and engage with the world around them and is increasingly powered by AI. To fully appreciate these advanced machines, it helps to peek inside — at both the “brain” and the “body” that work in harmony to bring humanoid robots to life. The "brain" of a humanoid robot isn’t made of neurons — it’s built from a powerful combination of semiconductors and software. At its core are advanced Generative AI (GenAI) models, driving the robot’s autonomy and decision-making. Supporting these are simulation models which serve as virtual training grounds — helping the robot learn and refine its skills before ever interacting with the physical world. The "body" is a complex network of high-tech components. It houses an array of sensors — from cameras and lidar to force, torque, and magnetic sensors — providing detailed awareness of its surroundings. Actuators — made up of motors, encoders, bearings, screws, and reducers — translate commands into smooth, precise movements. This entire system is linked by an intricate network of wires and connectors, powered by a centrally mounted lithium-ion battery. On the outside, most humanoid robots are encased in a blend of lightweight aluminum alloys and plastics — keeping them strong, durable, and agile without adding unnecessary weight. Why Humanoids? Many readers might wonder: "Why do we need robots shaped like humans?" Why engineer something as complex as hands, arms, or legs? The answer: It’s not just about aesthetics. To be sure, there are strong arguments for robots to take on specialised forms — like robot arms, snake-shaped robots, robot dogs, or even robotic dust — adapting to specific tasks in countless configurations. However, many robotics and AI experts argue that the most compelling case for humanoid robots is rooted in the world we've already built. Our environment is "brownfielded" for human bodies — meaning it’s designed by humans, for humans — and humanoid robots can seamlessly integrate into these spaces with minimal modifications. As Nvidia points out, humanoid robots excel precisely because they match the physical blueprint the world was designed for. Nvidia CEO Jensen Huang explains it this way: “The easiest robot to adapt into the world are humanoid robots because we built the world for us. We also have the most amount of data to train these robots than other types of robots because we have the same physique." Consider this: human hands are remarkably versatile — capable of handling delicate objects, using tools, and operating heavy machinery. Most workstations, tools, and everyday objects are designed around human proportions. A robot that mirrors our form can step into those roles immediately — without requiring a complete redesign of the world around it. And let’s face it — a machine that looks familiar (and maybe even friendly) has a better chance of social acceptance than something that seems alien or out of place. Huang sums it up perfectly: "Robots look like people because … the most important reason, is that we built the world for ourselves, and so the workstations of a factory, the manufacturing line of a factory, was really created for people." Breaking Down the Humanoid Robot Value Chain The global humanoid robot market isn’t driven by a single type of company — it’s an intricate, interconnected ecosystem. According to Morgan Stanley, this ecosystem breaks down into three key pillars: the "Brain," the "Body," and the "Integrators." Companies in the "Brain" category supply advanced semiconductors and AI software models — the driving force behind humanoid autonomy. These models handle both training (teaching the robot how to think and act) and inference (helping it make decisions in real-time). Next comes the "Body". Companies here specialize in hardware — from sensors and actuators for movement to batteries, wiring, and other essential components that bring the robot to life. Finally, we have the "Integrators" — companies currently building full humanoid robots or that have the reasonable potential to do so given their expertise in manufacturing other robotics or automation platforms. To analyze the value chain, Morgan Stanley’s team selected an extensive set of publicly traded companies with significant involvement in the humanoid market. They identified 22 companies in the "Brain" category, 64 companies supplying critical components for the "Body" and 22 companies classified as "Integrators" — those most likely to deliver full-scale humanoid robots to market. One striking takeaway from Morgan Stanley’s research? Asian companies — particularly those in China — are leading the humanoid robotics race. Out of 100 publicly traded companies worldwide that Morgan Stanley identified as actively developing humanoids, 56 per cent are based in China. Even more notably, 45 per cent of the world’s robot integrators — companies that customize robots to meet specific end-user needs — also call China home. “A common refrain we hear from investors is the lack of Western firms to add to their humanoid portfolio outside of Tesla and Nvidia,” Morgan Stanley analysts led by Adam Jonas noted in the research paper. China “continues to show the most impressive progress” in humanoid robotics due to strong government support, domestic start-ups’ access to established domestic supply chains, and the plethora of businesses willing to put the machines to use, the paper, titled 'Humanoid 100', found. “In our view, this is important information in and of itself as it represents the reality of the current humanoid ecosystem, which we expect may need to change materially over time,” the bank said in the paper. The Use Case Humanoid robots first gained traction in the automotive industry. In a post on X, Tesla highlighted its key achievements since 2018 — notably announcing the successful deployment of two Optimus robots in one of its factories. Similarly, Hong Kong-listed UBTech Robotics revealed in early March that it had completed a trial involving dozens of Walker S1 robots at the Zeekr EV factory in the Chinese port city of Ningbo, supporting “multitask” and “multi-site” operations. Meanwhile, Figure AI, backed by Nvidia, plans to start training its robots in BMW factories later this year. So far, most humanoid robots in real-world use are concentrated in industrial environments like logistics and manufacturing, while others support research and education. Their presence in the service sector remains limited, primarily appearing in commercial roles — such as tour guides at museums and exhibitions. Notably, last month, 16 humanoid robots from Hangzhou-based Unitree dazzled audiences with a synchronized dance performance during China’s Spring Festival Gala — the world’s most-watched annual TV broadcast — on Lunar New Year’s Eve. Beyond entertainment, countries are accelerating efforts to develop humanoid robots for military purposes, though large-scale deployment remains a distant goal. These robots are being tested in high-risk scenarios — from battlefield reconnaissance to disaster response — leveraging their human-like mobility and decision-making abilities. The US leads this charge, with Boston Dynamics' agile search-and-rescue robot, Atlas, and SAFFiR, a firefighting robot designed for the US Navy. Humanoid robots are also venturing into space. The US, Japan, and Russia have deployed them on missions to gather data and operate in extreme environments. Yet, for everyday people, humanoid robots remain more of a spectacle than a helping hand — their true potential still waiting to be unlocked. The Urgency Is ‘Palpable’ Beyond the technological marvels and intricate engineering, one crucial question looms: Is the world truly ready for humanoid robots? Goldman Sachs certainly thinks so. The firm projects the total addressable market (TAM) for humanoid robots to hit a staggering $38 billion by 2035 — with much of this growth driven by their deployment in structured environments like manufacturing. Picture EV assembly lines, precision component sorting, and other repetitive industrial tasks. But the real promise of humanoids stretches far beyond factory floors. Thanks to AI-driven adaptability, these robots are poised to tackle hazardous, high-risk jobs — tasks with high fatality rates and low human willingness. Goldman Sachs highlights that customers may be more willing to pay a premium for robots capable of handling dangerous operations where human lives are at stake. While factories may be the first to embrace humanoid robots, analysts like RBC’s Tom Narayan believe the biggest breakthrough will come when — or if — these machines become an integral part of everyday life. The real opportunity, he says, is in “more than just cutting vegetables,” he said. He envisions humanoid robots evolving into household companions — personal assistants capable of helping raise children or even babysitting. "In most manufacturing plants in the U.S., robots are already working. The real value? It’s in people’s homes,” Narayan said in an interview. Morgan Stanley’s Adam Jonas echoes this, predicting humanoid robots will become a multi-decade, trillion-dollar industry — with adoption potentially outpacing autonomous cars on public roads. Far more capital will be pumped into the humanoids given the thousands of repetitive and dangerous human tasks that could be made significantly easier with robots being incorporated into factory lines, warehouses and kitchens, Jonas wrote in a note to clients. This sense of inevitability is shared by corporate giants already doubling down on the humanoid future. At Tesla’s June 13, 2024 shareholder meeting, Elon Musk made his boldest prediction yet: "I think the ratio of humanoid robots to humans will probably be at least two-to-one, something like that. One-to-one for sure. So, which means like somewhere on the order of 10 billion humanoid robots. Maybe, maybe, maybe 20 billion or 30 billion." Musk’s focus on Tesla’s humanoid robot project, Optimus, has only intensified. First introduced on September 30, 2022, Optimus remains a top priority at Tesla’s engineering headquarters in Palo Alto. As Tesla grappled with plummeting profits last year — driven by a brutal EV price war in China and slowing demand in Europe — Musk increasingly spotlighted Optimus as a cornerstone of the company's future. During Tesla’s fourth-quarter earnings call in January, Musk voiced confidence that the company could produce thousands of humanoid robots by year-end. He explained that the bots would first take on "the most boring and annoying tasks" in Tesla’s own factories, with deliveries to external customers expected to begin in the second half of next year. A ChatGPT Moment Humanoid robots are evolving — not just in form, but in intelligence. Powered by machine learning algorithms, they can analyse data, learn from past actions, and process information from sensors to make decisions in real time. However, traditional robotics programming remains rigid. These robots still require extensive human expertise to code, and they struggle with unfamiliar situations. That’s beginning to change. The advent of the large language models (LLMs), coupled with growth of generative AI — software that can create plausible and sophisticated text, images and computer code at a level that mimics human ability — is reshaping robotics. These technologies are accelerating how physical machines learn — using natural language, imitation, and simulation. Robotics, it seems, is having its own "ChatGPT moment, says Adam Jonas. For years, the fields of AI and robotics were seen as distinct — LLMs driving language and knowledge, while robotics focused on movement and mechanics. Now, those worlds are colliding, and the impacts are profound. Robots are increasingly capable of learning new tasks — not through painstaking manual programming, but by tapping into powerful foundation models trained on massive datasets of both real-world and simulated experiences. These models — built by some of the world’s leading tech giants like NVIDIA, Alphabet, Baidu, Meta, and Microsoft — will supercharge humanoid robot development. On 18 March, NVIDIA unveiled Isaac GR00T N1— the world’s first open, fully customizable foundation model for generalized humanoid reasoning and skills— to speed robot development. “The age of generalist robotics is here,” said Jensen Huang, CEO of NVIDIA. “With NVIDIA Isaac GR00T N1 and new data-generation and robot-learning frameworks, robotics developers everywhere will open the next frontier in the age of AI.” Vincent Vanhoucke, Senior Director for Robotics at Google DeepMind, captured the magnitude of this shift, recalling how experts now look back on 2022 as "the good old days" as he explains how LLMs and genAI have very abruptly flung the field of robotics from an isolated "robot island" firmly onto the "AI flywheel". 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