On October 28, Zhiyuan released an upgraded version of its embodied intelligence simulation platform Genie Sim, focusing on improving soft-body simulation and adding model evaluation and reinforcement learning post-training features. In comparative tests covering 4 robot platforms and 22 tasks, the correlation between simulation and real-robot task scores reached 96.7%. Related code is planned to be updated on GitHub, with simulation assets and datasets to be opened to developers.
Qiming Venture Partners' portfolio company Wuxian Qionxin announced the release of RLinf v0.4, an open-source reinforcement learning framework for embodied intelligence, jointly developed with Tsinghua University and Beijing Zhongguancun Laboratory.
Tesla executives said in an interview that the company plans to use Optimus humanoid robots to plug and unplug charging cables for Robotaxis, while continuing to develop more automated wireless charging. Tesla currently still relies on staff to manually charge driverless Robotaxis, with wireless charging as the ultimate goal but unlikely to be realized in the near term.
At the 2026 Mojia Robot global launch, Chery executive vice president Zhang Guibing gave his first interview as Mojia's general manager, outlining three changes automakers bring to embodied intelligence and revealing over 3,000 units sold across 100+ scenarios in 60+ countries, with about 70% of underlying vehicle-robot technology reusable.
On October 27, 2026, RoboDojo, the embodied intelligence evaluation benchmark led by the University of Hong Kong, released its latest ranking. Zhiyuan GO-3 Nano Preview ranked first with an average score of 61.90 and an average success rate of 56.42%, surpassing GPT-6 Astra, and also topped the sub-dimensions of fine manipulation, long-horizon execution and open semantic understanding.
Chinese robotics company AgiBot made 110 full-size Expedition A3 humanoid robots dance in sync in Jinan, with a performance lasting nearly six minutes featuring jumps, flips, wave patterns, and formation changes, reportedly earning a Guinness World Records title. All robots were production units, coordinated to the centimeter via the LinkBots control system and ultra-wideband positioning.
On October 27, Zhiyuan officially launched Genie Master, an embodied agent framework. The Spirit G2 robot equipped with the framework has been working at a real convenience store without manual demonstrations or debugging, achieving continuous self-evolution with no human in the loop, and marking the first validation of Physical RSI (embodied recursive self-evolution) in a real business scenario.
Chaoyan Intelligence publicly released 36 research results produced by its AI system, covering AI research and embodied intelligence, with minimal non-expert human intervention and five representative studies explained.
Zhiyuan today released its safety-certified heavy-duty embodied robot Lingjing G2 Max for industrial scenarios such as depalletizing, material transfer, and production line feeding. The robot has a 40kg rated dual-arm payload and has been running on multiple production lines, achieving over 99% success rate in e-commerce warehousing tasks.
On October 24, Deep Robotics released multiple papers on its self-developed embodied brain DEEPRobotics-Brain, presenting five research results: world model DR-WM-1.0, embodied foundation model DR-VLA-2.0, embodied agent DR-Agent, policy optimization framework DR-APO, and data closed-loop platform DR-Benchmark.