NEXFORM, a Zhejiang-based physical artificial general intelligence (AGI) company, said it has completed a seed round worth tens of millions of yuan. Investors included Gobi Partners, Zheda Youchuang and others. Founded in 2023, NEXFORM is led by an expert team from the Robotics Institute of Zhejiang University and was incubated by the Tianmu Laboratory at Zhejiang University’s Xinchang Joint Innovation Center. It focuses on general-purpose embodied robots, key components and embodied intelligence application solutions. Its products include the SE seven-axis robotic arm and W1 commercial-grade interactive embodied operation robot. NEXFORM has signed cooperation agreements with several hotel groups and property management companies, with cumulative contract value reaching several hundred million yuan and covering more than 100 million square meters of...
Factories worldwide installed 603,000 new industrial robots in 2025, up 11% from a year earlier, while the global operational stock surpassed 5 million units, the International Federation of Robotics (IFR) said. China is setting the pace. Chinese manufacturers installed 195,000 robots domestically, giving them a 55% share of installations in their home market. The global picture is becoming more uneven: China is driving a large share of new installations, the United States is expanding, and Europe is advancing at a slower clip. For robotics companies targeting Europe, the focus may increasingly shift to identifying the factories, industries and applications where automation can address measurable operational challenges. China remained the largest market by far, installing about 354,000 robots, a 20% year-on-year...
Chinese embodied AI startup PHANES AI, in partnership with Tinno Mobile, launched SeePhys Hub, a wearable full-body multimodal data collection system for robot training. The system comprises a four-camera headband, two wrist bands, three waist-and-leg motion trackers and a tactile glove. PHANES said it can simultaneously collect first-person 360-degree visual data, full hand data including hand pose tracking and high-density touch, and full-body motion data including pose and force. The launch comes as robot data collection has moved from teleoperation to UMI and Ego, with devices becoming lighter and collection simpler. But PHANES said that simplification has come at a cost: Ego can record what the hands are doing, but it struggles to fully capture whole-body movement and cannot sense...
U.S. humanoid robot maker Figure AI released a video on Sept. 30 showing several retired Figure 02 robots jumping into molten steel, in a farewell staged with “Terminator” star Arnold Schwarzenegger and intended to mark the company’s shift to newer models. The company said the footage was not AI-generated. It trained the robots to jump, shipped them to Finland and placed them into molten metal. In the video, multiple Figure 02 robots stand at the edge of a furnace, look into the molten steel, back away, run and leap in. Another robot is lowered by chain and raises a mechanical thumb before being submerged. Schwarzenegger, who starred in “Terminator 2: Judgment Day,” took part and said: “Hasta la vista, Figure...
China’s AGIBOT showcased humanoid robots performing real industrial tasks at the 26th China International Industry Fair on Monday, saying its AGIBOT G2 machines are moving from single-task trials to stable, scaled deployment. The Shanghai-based company organized its exhibit around “industrial deployment,” demonstrating autonomous work in precision manufacturing, flexible assembly, semiconductor packaging and testing, and warehouse logistics. It said the display covered the full chain from data and robot bodies to production-line deployment. In optical module insertion, AGIBOT said the G2 used high-precision force-controlled arms, joint torque sensors and an in-house real-machine reinforcement learning framework to handle sub-millimeter tasks and protect gold-plated contacts. Using its Genie Studio Agent platform, a full task deployment can be set up in two to three...
Chinese embodied AI startup Astribot has raised 1 billion yuan in a new funding round, valuing the rope-driven robot maker at 15 billion yuan. Toposcend Capital, a unit of Shenzhen Investment Holdings, led the round. Hongtai Fund, Ninghai Xingtaihe Fund managed by Guanghua Sunshine, Soliton Capital and existing shareholder Xianmu followed on. It was Astribot’s fourth round in six months. Its valuation rose from 10 billion yuan to 15 billion yuan in three months, a rare pace even in China’s hot humanoid robot sector. Astribot said proceeds will fund model upgrades, hiring, commercial deployment, capacity and its three-in-one full-stack architecture spanning an AI model, embodied operating system and rope-driven body. Founder and CEO Lai Jie said investors were important “fellow...
Chinese researchers said they have developed MEgoVista, a framework that converts first-person, or ego, video into 4D motion data for training embodied AI models, addressing a gap between the growing supply of ego video and the precise motion data robots need. The paper was produced by Maniformer Technology, Northwestern Polytechnical University and Xi’an Jiaotong University. Ego video has become an important source of pretraining data because it can be captured in homes, workplaces and other real environments rather than specialized laboratories. But recording an action does not automatically produce usable 4D data, meaning three-dimensional motion over time. Systems must identify the wearer’s hands, reconstruct finger poses and measure how far the hands move in space. MEgoVista is designed as an...
DexForce, an Chinese embodied-AI developer, has unveiled UNITAS, a 3D-native world action model for robot manipulation, saying it is designed to give robots a unified representation of the physical world. The company described UNITAS as the first robot-task-native 3D world model. UNITAS is built on a central premise: just as large language models unify diverse knowledge through text, embodied AI needs a native space for physical experience. DexForce argues that space should be the 3D physical world itself, rather than 2D images or latent features from which 3D relationships must be inferred. The model jointly represents observation, action and scene change in a single 3D coordinate system. Observation corresponds to the 3D positions of objects; action flow corresponds to the...
UBTECH Robotics ranked 11th with a total score of 115 on the 2026 Fortune Future 120 list, jointly released by Fortune and Boston Consulting Group (BCG), making it the highest-ranked Chinese company on the list. The list, which focuses on companies’ organic growth vitality, selected 120 companies from more than 3,500 globally based on three dimensions: growth ambition, talent density and growth culture. U.S. tech giants on the list included Nvidia at No. 16, OpenAI at No. 18, Apple at No. 55, Tesla at No. 87 and Meta at No. 120. Eleven Chinese companies were selected. UBTECH said its first-half 2026 revenue was 1.27 billion yuan, up 104.2% year on year. Overall humanoid robot sales volume rose 268.3%. Revenue from...
Skild AI has unveiled a new post-training approach for embodied intelligence that uses physical self-play to teach humanoid robots highly dynamic skills. In a demonstration centered on soccer, the company showed a robot defending, dribbling past opponents and scoring—abilities acquired largely through self-competition rather than hand-coded rewards. The robot tracks the ball closely and denies the human opponent possession. After briefly losing focus and conceding an interception, it recovers, turns, runs with the ball and finishes into the goal. The significance is not robot soccer itself, but the use of physical self-play. Most robot foundation models are pretrained on human data. Skild’s S1 model, released last month, follows that pattern and can learn tasks from in-context demonstrations, similar to prompt-based...
