
D-Robotics, a Chinese robotics company, has published the technical report for its world-model simulation platform Uranus and released inference code, an SDK and two versions of model weights, while offering 100 early-access slots to developers and researchers worldwide. The platform is designed to let robot policies run, test and compare actions in a virtual environment. Uranus uses future joint trajectories as conditions and an autoregressive diffusion architecture to generate multi-view observations corresponding to robot actions, forming a closed interaction loop for policy evaluation. D-Robotics said Uranus supports single-arm, dual-arm and mobile manipulation robots under one model by converting different robot bodies into a unified skeleton and spatial representation. Camera inputs are encoded using Plücker ray embeddings, and the model fuses...

Astribot, a Chinese embodied AI and robotics company, held the finals of its Astribot OS (AOS) robotics hackathon in Shenzhen on Oct. 25, as it seeks to lower the barrier for non-specialists to build robot applications. Seventeen teams competed over 36 hours. Sixteen apps moved from simulation to real-robot testing, a real-machine validation rate of 94%, according to the organizer. The event, described by Astribot as China’s largest robotics app hackathon for creators from diverse backgrounds, drew 47 teams across Beijing, Shenzhen and the finals. Participants included students, product managers and independent developers, with the youngest born in 2006. Astribot’s AOS packages perception, mobility, manipulation and interaction into callable “Meta” skill modules. Creators can combine these with large models such...

The National Steel Structure Quality Inspection and Testing Center of MCC Building Research Institute and Beijing XIAOYUBOT Technology Co. Ltd. on Tuesday inaugurated a joint laboratory for industrial embodied intelligent welding and testing. Zeng Bin, president of the China Steel Structure Association and chief scientist at China Minmetals; Wang Haitao, party secretary and general manager of MCC Building Research Institute; Liu Dong, party secretary and chairman of MCC Testing and Certification; and Qiao Zhongliang, founder and CEO of XIAOYUBOT, unveiled the laboratory. Qiao said in remarks that embodied intelligence is developing rapidly, but quality must remain the bottom line. “Every weld concerns engineering safety and human life. Robots can weld faster, but if quality fails, higher efficiency means greater risk,”...

Chinese robotics company SEAHI ROBOTICS has completed government registration for its ocean general-purpose foundation model “CEORION”, which it says is the world’s first such model, marking the latest push by Chinese firms to stake out a lead in frontier artificial intelligence. The model, backed by the company’s proprietary LWAM (Language-World-Action) unified architecture, dynamically fuses multi-dimensional sensing data – vision, acoustics, pressure, fluid and posture – into an end-to-end unified neural network, enabling integrated semantic understanding, environment modeling and action generation. SEAHI says this supports a full closed-loop of autonomous operations, from underwater perception and task assessment to path planning, autonomous execution and emergency response. The registration, filed with China’s Cyberspace Administration, means a Chinese company has for the first time...

AGIBOT has launched the Genie G2 Max, a safety-standard-compliant heavy-duty embodied robot designed to address a long-standing trade-off in industrial handling: heavy-duty equipment struggles with fine tasks, while precision equipment cannot carry large loads. The robot is the third installment in the company’s AI WAVE series, AGIBOT said. The Genie G2 Max has a single-arm payload of 20 kg, a dual-arm rated payload of 40 kg and a peak dual-arm payload of 50 kg. Its arm repeat positioning accuracy is ≤±0.5 mm. AGIBOT said the robot is the industry’s first heavy-duty embodied robot capable of long-range, multi-task operations. “Embodied intelligence is not a demo in the lab; its value must be tested on real production lines,” Yao Maoqing, co-founder, co-president...

The Beijing Humanoid Robot Innovation Center said its open-source RoboMIND dataset has surpassed 50 million cumulative global downloads since it was open-sourced in December 2025, making it the most-downloaded and fastest-growing open-source dataset in embodied AI.The latest 10 million downloads took 18 days, compared with 223 days for the first 10 million and 39 days for the second. RoboMIND is the first open-source dataset to simultaneously support dual-arm coordination, mobile manipulation, dexterous hands and high-fidelity tactile sensing, according to the center, allowing developers to train robots across a full action chain from grasping and carrying to fine manipulation. The center also described RoboMIND as the world’s largest unified, multi-embodiment public robot manipulation dataset, with more than 400,000 dual-arm manipulation trajectories...

China’s AGIBOT said its Expedition A3 humanoid robots have set a Guinness World Record for the most humanoid robots dancing simultaneously, with 110 full-size units performing coordinated routines at the Yellow River International Convention and Exhibition Center in Jinan, Shandong province. Guinness World Records adjudicators attended the event and issued an official certificate. The robots performed coordinated dance moves, wave-like formations and countdown numerals. Wang Chuang, AGIBOT partner and senior vice president, said all 110 units were mass-production models rather than specially tuned demonstration machines. “Each robot’s joint zero position, torque and motion library are unified at the production-line level. That consistency allows 110 robots to perform as one, and the demonstration site is the delivery site,” Wang said. The...

A research team at the University of Hong Kong’s MMLab has proposed a simple and efficient self-evolving embodied AI baseline, PhysicalRSI 1.0, which ranked first on the RoboDojo benchmark with a 31.38% average task success rate at roughly 1% of the token cost of GPT-6 Astra, the team said. PhysicalRSI 1.0, short for Physical Recursive Self-Improvement, achieved a 36.27 score and 31.38% success rate under a unified five-category evaluation, compared with GPT-6 Astra’s 28.86 score and 22.21% success rate. The result represents a 39.6% relative improvement in success rate over Astra at a fraction of the cost. Astra reportedly consumes about 200,000 yuan in tokens for a full RoboDojo test run. The system uses a “System 1–2 Co-Evolution” framework in...

RoboColiseum, an embodied AI evaluation platform co-founded by Maniformer, Hugging Face, NVIDIA and Tsinghua University, said Claude Opus 5.5 ranked first among four flagship general-purpose models in its latest round of testing, with GPT-6 Astra second. GPT-6 Astra led in instruction following and overall disturbance adaptation, scoring 99.35 on instruction following, according to the results released on Oct. 20. Opus performed better in spatial reasoning and general manipulation, and took the top spot among flagship models with the lowest total token consumption across all evaluation rounds. GPT-6.1 Sol lagged the other three models in image-quality perturbation tests, the platform said. Despite Opus’s lead among general models, the top two positions in the overall ranking were still held by embodied policy...

Chinese humanoid robot startup LimX Dynamics is exploring U.S. business collaborations and holding talks with international investors as it pushes to expand globally. The Shenzhen-based company recently showcased its humanoid robot at CES in Las Vegas. LimX plans to enter overseas markets through local partners and investors, with the Middle East first on its roadmap. The startup aims to start shipping humanoids to the region this year and has secured its first foreign backer there, Zhang said. He declined to disclose details of the investors or the size of an ongoing funding round, which the company said would multiply its valuation from its Series A round. LimX has raised $69.31 million as of July 2025, according to PitchBook, with backers...