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…
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...
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Scary AI-powered swarm robots team up to build cars faster …
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.
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.
Description: A new breakthrough shows how robots can now integrate both sight and touch to handle objects with greater accuracy, similar to humans.
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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.
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Meta's Metabot: Licensing AI to Power Humanoid Robots by 2030
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.
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AI Meets Nature: The Intelligent Robots Powering Industry 5.0
Description: AI Meets Nature: The Intelligent Robots Powering Industry 5.0 Industrial robotics is entering a pivotal transformation. The integration of artificial intelligen...
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NVIDIA Showcases Jetson Thor Capable of Running Generative AI Robots
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...
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Google DeepMind's Gemini AI Transforms Robotics with Multimodal Capabilities
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.
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Welcome to Skynet: Google Unveils AI Models to Power Physical …
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.
Description: heavy industrial manufacturing - At the 2025 World Robot Conference, Zoomlion demonstrated significant progress in integrating robotics with heavy industrial ma...
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Integrating Multimodal AI on TurboPi - Hackster.io
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.
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
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What will humanoid robots be used for in the future? …
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
Description: The young Chinese founder has secured funding for startup that aims at the country’s first fully open-source humanoid robot platform.
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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
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Humanoid robots will take over factory jobs within 5 years: …
Description: Xiaomi CEO Lei Jun says artificial intelligence will overhaul traditional industries within five years as humanoid robots move into core factory roles.
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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
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Xiaomi confirms humanoid robots will start working at factories within …
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.
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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
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Xpeng to unveil fifth-gen humanoid robot built on 70% of …
Description: CEO He Xiaopeng sees robotics as the company’s “third growth curve,” with mass production set for 2026.
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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.
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Humanoid robots will enter Xiaomi factories at scale within five …
Description: Lei Jun says humanoid robots will enter Xiaomi factories at scale within five years, as AI reshapes manufacturing and drives major industrial upgrades.
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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 our News Section. Stay ahead in tech! Join our Telegram community and sign up for our daily newsletter of top stories! ð¡ (Via)
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Humanoid Robot Maker Ubtech Limbers Up for IPO - Tesla …
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
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.
Description: Agibot, Galbot, UBTech, and Dobot are leading the charge, with all-purpose models expected to lag behind.
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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.
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Xiaomi Unveils CyberOne Robot, a rival to Tesla’s Upcoming Optimus …
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
Description: Beijing-based Xiaomi is ramping up its robotics research and development to compete in the growing global humanoid market.
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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
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Tien Kung, a humanoid robot by state-backed X-Humanoid with Xiaomi …
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.
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.
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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
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Tien Kung, a humanoid robot by state-backed X-Humanoid with Xiaomi …
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.
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.
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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
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Gen Z Founder Launches Open-Source Humanoid Robot Startup RoboParty, Secures …
Description: RoboParty, a full-stack open-source biped humanoid robot startup founded in April 2025, has completed a seven-figure seed funding round. Investors include Matri...
Description: The Chinese are outpacing Western manufacturers when it comes to developing humanoid robots and putting them to work in automotive factories. Chinese battery-el...
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Tesla's Humanoid Robot Optimus to Appear at China International Import …
Description: Tesla announced on October 28 that it will bring its humanoid robot Optimus, also known as Tesla Bot, to the fifth China International Import Expo, to be held in Shanghai from November 5 to 10.
Description: The relocation ceremony of Xiaomi robot company was held in Beijing Yizhuang, marking not only the expansion of the company's scale, but also reflecting Xiaomi's determination to deepen its efforts and innovate continuously in the field of robotics.
Description: The world of robotics just witnessed a seismic shift. On July 25th at Shanghai’s World AI Conference, Chinese robotics company Unitree unveiled the R1 — a $...
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Tesla Optimus rival Unitree shines at China's world robot games
Description: Currently, Unitree and GALBOT have established close cooperation with NVIDIA. GALBOT plans to, starting from Beijing, build 100 Yinhe Space Capsules in more than 10 cities in the next few months.
Description: Learn why the Unitree G1 is the ultimate platform for research, education, and innovation in humanoid robotics. Explore the Unitree G1 Kungfu
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Geeky Gadgets The Latest Technology News 1:35 pm October 14, 2025 By Julian Horsey What if the future of robotics wasn’t just about machines performing tasks, but about creating humanoid systems that could adapt, learn, and evolve alongside us? Enter the Unitree G1 Kungfu Kid V6.0, a new innovation in humanoid robotics that challenges the boundaries of what robots can achieve. With its unparalleled flexibility and AI-driven intelligence, this innovative creation is more than a machine, it’s a dynamic platform designed to bridge the gap between research, education, and real-world applications. From its advanced joint flexibility to its ability to execute delicate tasks with precision, the Unitree G1 isn’t just keeping up with the future, it’s defining it. Learn more about how the Unitree G1 sets a new benchmark in the robotics industry. Discover its 23 degrees of freedom, modular design, and intelligent sensing capabilities that allow it to navigate complex environments with ease. Whether you’re an educator seeking a versatile teaching tool, a researcher pushing the boundaries of AI, or an innovator looking for a customizable robotics platform, the Unitree G1 promises to deliver. But what truly sets it apart? Its ability to evolve with your needs, making sure it remains a relevant and powerful tool for years to come. The possibilities are as exciting as they are fantastic. TL;DR Key Takeaways : The Unitree G1 is engineered to excel in adaptability, precision, and intelligence, making it a standout in the robotics industry. Its defining features include: The Unitree G1 strikes a balance between compactness and functionality, making it both robust and portable. Its technical specifications highlight its versatility and performance: Unlock more potential in humanoid AI robots by reading previous articles we have written. The Unitree G1 is equipped with a comprehensive suite of sensors and connectivity options, allowing seamless interaction with its environment and external systems: The Unitree G1 combines high-performance computing with efficient power management, making sure reliable operation across various tasks: One of the most compelling aspects of the Unitree G1 is its support for secondary development, making it an ideal platform for education, research, and innovation. Key customization features include: The Unitree G1 is available at a base price of $16,000, excluding taxes and shipping costs. Multiple configurations are offered, including the EDU version, which is specifically designed for educational and research purposes. While some features are still under development, the current capabilities of the Unitree G1 make it a strong contender for those seeking advanced robotics solutions. The Unitree G1 sets a new standard in humanoid robotics by combining flexibility, precision, and AI-driven intelligence into a single platform. Its robust design, customizable features, and versatile applications make it an invaluable tool for educators, researchers, and innovators. Whether you are pushing the boundaries of robotics in a laboratory or applying it to real-world challenges, the Unitree G1 is equipped to meet the demands of the future. Media Credit: Unitree Robotics Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Description: HANGZHOU, China, Aug. 22, 2025 /PRNewswire/ -- Robotics maker Unitree is dedicated to its mission of creating fun, friendly, and engaging robots for the publi...
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Unitree Humanoid Robot Exploit Looks Like A Bad One | …
Description: Unitree have a number of robotic offerings, and are one of the first manufacturers offering humanoid robotic platforms. It seems they are also the subject of UniPwn, one of the first public exploit…
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Unitree have a number of robotic offerings, and are one of the first manufacturers offering humanoid robotic platforms. It seems they are also the subject of UniPwn, one of the first public exploits of a vulnerability across an entire robotic product line. In this case, the vulnerability allows an attacker not only to utterly compromise a device from within the affected product lines, but infected robots can also infect others within wireless range. This is done via a remote command-injection exploit that involves a robot’s Bluetooth Low Energy (BLE) Wi-Fi configuration service. While this may be the first public humanoid robot exploit we have seen (it also affects their quadruped models), the lead-up to announcing the details in a post on X is a familiar one. Researchers discover a security vulnerability and attempt responsible disclosure by privately notifying the affected party. Ideally the manufacturer responds, communicates, and fixes the vulnerability so devices are no longer vulnerable by the time details come out. That’s not always how things go. If efforts at responsible disclosure fail and action isn’t taken, a public release can help inform people of a serious issue, and point out workarounds and mitigations to a vulnerability that the manufacturer isn’t addressing. The biggest security issues involved in this vulnerability (summed up in a total of four CVEs) include: The complete attack sequence is a chain of events that leverages the above in order to ultimately send commands which run with root privileges. We’ve seen a Unitree security glitch before, but it was used to provide an unofficial SDK that opened up expensive features of the Go1 “robot dog” model for free. This one is rather more serious and reportedly affects not just the humanoid models, but also newer quadrupeds such as the Go2 and B2. The whole exploit is comprehensively documented, so get a fresh cup of whatever you’re drinking before sitting down to read through it. Reminds me of the Tom Selleck movie, “Runaway.”… Wow, it’s really pathetic how trivial these flaws are. They are just begging for their robots to be exploited. I, for one, welcome our new robot overlords. Although they look like the old robot overlords, but acting slightly differently. Is it a facial twitch? Maybe you’ve found Lore instead of Data. So this is on top of them phoning home and leaking a lot of confidential information about where the robot is and what the owner is doing with it? Pretty sure there was a movie about this exact situation going on but it was a rogue AI injecting and running the exploit. Damn those Three Laws!!! I hope someone makes them act like Bender. Yeah, they “accidentally” left in a security exploit that just happens to also allow compromised robots to infect others. That doesn’t sound like an AI plot to create an army of terminators at all! Has anyone actually seen the CEO of Unitree in real life? 🤔 Johnny 5: Need Input!!! Do you want Terminators? Because this is how you get Terminators. (Yes it is Other Barry, yes it is.) They’re turning the fricken sex-bots gay! Please be kind and respectful to help make the comments section excellent. (Comment Policy) This site uses Akismet to reduce spam. Learn how your comment data is processed.
Description: Money Compass is one of the credible Chinese and English financial media in Malaysia with strong influence in Malaysia’s financial industry. As the winner of the SME Award in Malaysia for 5 consecutive years, we persistently propel the financial industry towards a mutually beneficial framework. Since 2004, with the dedication to advocating the public to practice financial planning in everyday life, Money Compass has accumulated a vast connection in ASEAN financial industries and garnered government agencies and corporate resources. At present, Money Compass is adjusting its pace to transform into Money Compass 2.0. Consolidating the existing connections and network, Money Compass Integrated Media Platform is founded, which is well grounded in Malaysia whilst serving the ASEAN region. The mission of the new Money Compass Integrated Media Platform is to become the financial freedom gateway to assist internet users enhance financial intelligence, create wealth opportunities and achieve financial freedom for everyone!
