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.
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.
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 22, Zhiyuan officially open-sourced the fourth phase of the AGIBOT WORLD 2026 dataset, focused on embodied reasoning. The dataset constructs decision-making scenarios for the same task under different states based on object quantity, occlusion, position occupancy, and task progress, covering nine core reasoning abilities including attribute selection, condition judgment, action feasibility evaluation, target search, long-horizon planning, and process memory, with Easy, Medium, and Hard difficulty levels.
A joint team from Tsinghua University, AgiBot and Infinigence AI proposed Collective Experience Learning (CEL), which lets deployed robots share execution experience and improve policies together. In five real-world tasks, using 96 robots improved phone packaging success from 79.2% to 98.3%.
As a prelude to the 2026 AGIBOT Innovation Day, Zhiyuan announced that it will launch “AI WAVE” starting October 22, releasing seven achievements including datasets, an operation platform, robot hardware, an agent framework, a simulation platform, a foundation model, and a collective experience learning paradigm, and previewed that six G2 robots will take a 24-hour live-streamed “probation test” at a convenience store from November 2 to 3.
On October 20, Zhiyuan, together with Wuhan Cultural Tourism Group and Zhongyun Weixun, launched the world's first full-size bipedal humanoid robot smart retail warehouse in Wuhan. The Expedition A3 Ultra can autonomously identify, pick, and deliver goods. As of October 19, it had run for 18 days, serving about 8 hours daily, completing 827 orders with a success rate above 97%.
Zhiyuan Robotics, together with NVIDIA and several universities, unveiled WorldOracle, described as the world's first action-driven world model evaluation platform that uses real execution as a benchmark, providing a unified standard for robot simulation training.