# COCO Matrix releases robot model CO01, using experience prompts to let robots learn while doing

- Source: 机器之心 · 微信公众号
- Published: 2026-10-26T11:06:06.000Z
- RoboHot: https://robohot.news/en/items/wn8tvnw5qfsna5oyh4ibwb9ap
- Original: https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2651070308&idx=1&sn=ad7768e6b204a1f73502c43ec9927fce&chksm=8589605d3f849c316a931282f135f862c94449e1e8d5d504eff500ef475222cd82226a1071b2&scene=126&sessionid=1793022368#rd

## Summary

COCO Matrix released the robot model CO01, which treats demonstrations, failed attempts, and real-time guidance as experience prompts in context, allowing adaptation to new tasks without updating weights. Under the same pretrained model, a roughly 1-minute demonstration achieved an average success rate of 52% on unseen tasks; fine-tuning to a similar level required about 180 demonstrations and about 9 hours. In real-robot evaluations with at most five attempts per task, cumulative success rate rose from 33% on the first attempt to 84% when retaining its own history, versus 56% without retaining history.