Event
Agibot Releases Embodied Model GO-3 Preview
3 reports · 3 sources
On October 29, Agibot released the embodied model GO-3 Preview, which adopts an embodied-native WRAM (World Reasoning Action Model) architecture that connects task reasoning, future prediction, and action generation, and supports full-chain scaled learning across pre-training, post-training, and post-deployment. Agibot claims that the model has topped three major evaluation leaderboards—RoboDojo, RoboTwin, and RoboColiseum—and plans to fully open-source it by the end of 2026. According to the company, in household, kitchen, multi-robot collaboration, and dexterous manipulation scenarios, robots can directly complete unfamiliar tasks without additional fine-tuning.
Report timeline
- Tsinghua-led team lets 96 robots share experience, raising phone packaging success rate to 98.3%; AgiBot releases GO-3 Preview
A Tsinghua-led team enabled 96 robots to share manipulation experience, raising the success rate on a phone packaging task to 98.3%. AgiBot released GO-3 Preview, a unified framework connecting reasoning, prediction, and action.
APPSO · 微信公众号 ·
- Tsinghua-led team lets 96 robots share experience, raising phone-packaging success rate to 98.3%
A Tsinghua-led team let 96 robots share experience, raising the phone-packaging success rate to 98.3%. AgiBot released GO-3 Preview, connecting reasoning, prediction, and action in a unified framework.
爱范儿 ·
- Agibot releases embodied model GO-3 Preview: can make jianbing guozi, work at convenience stores, tops three leaderboards
Agibot launches the embodied model GO-3 Preview, built on an embodied-native WRAM (World Reasoning Action Model) architecture that connects task reasoning, future prediction, and action generation, supporting full-pipeline scaled learning across pretraining, post-training, and post-deployment.
极客公园 ·