Joined January 2023
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Humanoid Robots As intelligent automation systems, they are embedded within existing upstream and downstream processes, complementing and enhancing the capabilities of full-chain automation, such as production lines and warehouses. As auxiliary assistants, collaborating with humans and participating in human-led work and life, humanoid robots are learning and evolving from their masters, evolving from passive to active. As remote agents: Humans control robots through AR/VR and brain-computer interfaces, while humanoid robots act on their behalf, handling extreme tasks and meeting the human's needs. As complete agents: Humans empower the robots(AI), understanding their intentions, patterns, and preferences, autonomously planning and executing tasks, and establishing a symbiotic relationship with them. As human-machine symbionts: Humanoid robots' hands, legs, and other parts of the human body enhance the human being. As a replica of the human, embedding human memories, knowledge, experience, ego, and superego,a digital copy,within the human body,a kind of superhuman and real-world immortality.
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If the price of humanoid robots were comparable to that of smart air conditioners or smart dishwashers... that ratio might well be reversed.
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Interesting data from China Customs: From January to May, China exported over 10 million robots, worth about 20 billion RMB. Cleaning robots made up more than 70% of that total. Humanoid (bionic) robots, by contrast, remain a tiny fraction--just 8,000 units. These are mainly used in equipment inspection, research & education, and public services. The primary export markets are the EU and ASEAN. Humanoid robots are still very early stage. However, countries in these regions are utilizing Chinese humanoid robots to develop and deploy their own humanoid robot infrastructure,technology stacks,ecosystem...
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look back at Atlas, released at CES 2026.
This is truly a huge milestone: Boston Dynamics has launched a new Atlas robot designed for mass production and application. > Robot Intelligence: In collaboration with Google DeepMind, it incorporates Gemini Robotics (VLA), combining past collaborations with TRI (LBM) and RAI (Cognitive Action Intelligence) to enhance Atlas's real-world AI capabilities. > Mass Production: Hyundai's manufacturing capabilities will enable a production capacity of thousands of Atlas robots per year. A new robot factory is planned to be built before 2028, capable of producing 30,000 robots annually. > Deployment and Application: Deployment will begin in Hyundai's automotive factories in the coming months, expanding to more customers by 2027. > Collaboration with Humans, Multiple Robots, and Multiple Systems: Atlas coexists with humans and collaborates with BD's Spot, Stretch, and other specialized robots, and integrates with factory and warehouse systems such as MES and WMS, enhancing customers' intelligent automation capabilities. The new Atlas features many updates: > Height: 1.9 meters, Weight: 90 kg, 56 degrees of freedom Maximum payload approximately 50 kg, continuous load approximately 30 kg > Battery life of 4 hours, with self-replaceable batteries for continuous operation. Operates in working environments from approximately -20°C to 40°C. > Maximum reach of approximately 2.3 meters, with real-time adjustment of posture, balance, and gripping force based on environmental data (collected by tactile sensors). Flexible robotic arm configuration.
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Boston Dynamics’ Atlas humanoid robot just stole the show at the World Cup During halftime of the Brazil vs Norway Round of 16 match, Atlas handed the match ball to the referee and nailed Erling Haaland’s signature goal celebration. Hyundai Motor Group completed its 100% acquisition of Boston Dynamics last month. --- Mass production is already underway this year with a full order book. The company plans to scale to 30,000 units by 2028, with the first batch of Atlas robots deployed at Hyundai’s Metaplant in Georgia for material handling, component installation, and order fulfillment.
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Canadian company Mirsee Robotics is gearing up to mass-produce its MH3 humanoid. This wheeled humanoid robot targets hazardous and high-intensity factory tasks: 30kg per arm, 10-hour runtime, 31 DOF with improved dexterity. It also supports VR headset motion gloves for teleoperation from up to 1,500 km away --essentially sending a human operator into dangerous spots like remote water treatment plants. They’ve built 8 prototypes currently in testing, with mass production planned for 2027 and thousands of units targeted over the next three years.(Perhaps they could produce 100 units first.) --- In industrial settings, these remote-operated wheeled humanoids can deliver real value right away: solving urgent customer problems, collecting valuable operational data, and generating cash flow while the broader humanoid tech continues to mature. What do you think…?
Looking at humanoid robots in Canada, besides Sanctuary AI's Phoenix, there's also Mirsee's MH3 While many humanoid robots emphasize complete autonomyand general intelligence,Mirsee Robotics takes a more pragmatic approach. Their humanoid robot didn't start with AI, but rather from a simple question: What jobs exist where humans can't go, but require human-like operation? Therefore, they created a humanoid robot that can be used immediately, and they've already developed their third generation (MH3): 10-hour battery life, 30 degrees of freedom, stable robotic arms and hands for using tools and operating equipment, plus wheeled legs for stable movement. Given the current limitations of AI autonomy, Mirsee's solution is for humans to remotely control the robot using VR haptic devices. The humanoid robot performs tasks in dangerous, remote, or high-risk environments, while humans remain in a safe zone. Here, AI isn't about replacing humans, but rather gradually learning to take over repetitive tasks,step by step reducing the intensity of manual control. MH3 has already been used in high-risk operations and remote infrastructure maintenance, and has also attracted interest from defense and aerospace-related organizations. However, due to limitations in the Canadian industrial manufacturing and robotics supply chain, and funding constraints, this product has not yet entered mass production. This is perhaps one of the factors that has limited Mirsee Robotics' development over the past 8 years. Recently, the Canadian Department of National Defence (DND) awarded Mirsee Robotics $500,000 through its IDEaS program for development,frankly, this amount is too small. That said, the remote operation of MH3 is both a practical necessity and a transitional step. They are collaborating with Nucleus, an AI company, to improve MH3's interaction and agency capabilities. As one of the few humanoid robot companies in Canada, their pragmatic strategy of developing and applying their technology simultaneously sends a signal: don't underestimate the practical value of remote operation. video source:CTV
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Hangzhou has opened China’s first Robot School🤖🏫 Yes, all the students are humanoid robots, quadruped robots, and more.The first batch has 30 of them…humans acting as the teachers. They will receive various trainings --robot brain development, scenario-based task practice, ethics and morality, and more. The goal is to make humanoid robots truly practical and ready to serve humans.(Bridging the "last mile" of application deployment)
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Geely has deployed humanoid robots on its actual automotive production lines, working alongside human operators on tasks like part sorting, component transport, precise placement, and dual-arm handling. They built this on Lightwheel’s Real2Sim2Real infrastructure--capturing first-person operator demonstrations directly on the live line with EgoSuite, creating high-fidelity simulations grounded in real factory physics measurements, and using fine-tuned NVIDIA GR00T models (N1.5/N1.7) on Unitree H1-based platforms developed further by Geely. A continuous learning loop then feeds deployment feedback back into the system for ongoing improvement. This approach has shortened the per-task training cycle from months to weeks while reducing reliance on real-world data collection.(real2sim2real) Interesting to watch how these closed-loop systems evolve…
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It’s really impressive. Many underestimate TeleOP’s potential. For example, in home elderly care, one caregiver could remotely control multiple humanoid robots--handling cleaning, chores, hygiene, health monitoring, and even chatting with seniors…
Humanoids should take on the heavy lifting jobs for humans. But can full-size humanoids handle heavy-payload teleoperation from noisy VR inputs? Excited to introduce our work, HEFT: Heavy-Payload Full-size Humanoid Teleoperation. HEFT tracks human intent from raw, noisy VR signals and enables real-world teleoperation with payloads up to 24 kg on L7, a 175 cm, 65 kg full-size humanoid. Website & more demos: L7 heavy-payload teleop G1/L7 high-dynamic tracking heft.axell.top/ G1 & L7 training code/checkpoints: github.com/Axellwppr/motion_…
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Many people know that dexterous robot hands are a bridge to robot intelligence… But for most uncertain and complex household tasks, hands alone are far from enough. What’s truly needed is a closed-loop capability that integrates high-level semantic decision-making, Whole-Body Manipulation, and dynamic environment adaptation. Beijing X-humanoid has released the world’s first full-size whole-body VLA framework--TG-VLA, powered by the “Huisi Kaiwu” universal embodied AI platform. It enables Tiangong 3.0 to think, move, and act simultaneously --smoothly and reliably completing long-sequence household tasks like making beds, loading laundry, watering plants, carrying objects, and throwing balls, just like a dependable family butler. How? Core is the biologically inspired HAF-VLA Hierarchical Action Flow: ->Move first (legs gaze for global path) ->Adjust torso for balance ->Fine arm operations Cross-stage KV cache reuse allows single encoding of visual-language information shared across the full process, greatly reducing action entanglement and instability. In human society, over 99.5% of jobs rely on hand operations (U.S. Bureau of Labor Statistics data). Yet to truly handle most complex tasks, we need Whole-Body Cooperative Manipulation this is the key step for humanoid robots to break through toward general-purpose capabilities.
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Agility’s Digit V5 on the way A month ago, Jonathan Hurst, co-founder of Agility Robotics, revealed the company's next-generation humanoid robot, Digit V5, during a TED talk. Designed for large-scale deployment, the robot is set to expand beyond its current role in warehouses into a wide range of industries--including construction, delivery, manufacturing, electronics, automotive, and grocery retail… This image may be AI-generated rather than an actual design rendering. Judging by the investor presentation, Digit V5 appears to have abandoned the current "ostrich-leg" design in favor of a more robust, more human-like appearance. To be released this year (Q3?)
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CyberRobo reposted
Wheeled humanoid robots might enter the home sooner (except for the inability to climb stairs) Which one would you bring home?
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How do you teach a humanoid robot to walk, see, and manipulate objects using only language commands--without tons of expensive real-world data? VLK's answer: Scan real rooms with an iPhone, rebuild them in 3D, synthesize 48k vision-language-motion trajectories, and train a policy purely on that data. Zero real-world fine-tuning later, the Unitree G1 successfully handles box lifting, multi-step tasks, and disturbances. High-quality synthetic interactions in reconstructed scenes can effectively close the data gap for perception-driven loco-manipulation.
🤖 How can we scale up humanoid robot learning? Introducing 🌟VLK🌟: generating large-scale synthetic data with paired egocentric observations, text, and full-body G1 kinematics for learning humanoid loco-manipulation. No teleoperation needed! Website: vision-language-kinematics.g…
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CyberRobo reposted
Humanoid worker’s assistant. Humanoid robots(Unitree G1)working in uncertain, complex real-world construction sites--handling dirty, dull, and dangerous tasks: patrolling, carrying materials, taking measurements, organizing toolboxes, and more. You know, when humanoid robots can reliably just work both indoors and outdoors, they blend into the workflow like any other tool. The value network this creates will be enormous. This is exactly FieldAI’s approach. It’s no secret…
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