# Infinigence AI, Tsinghua and AgiBot propose collective experience learning (CEL) paradigm, validated on 96 robots

- Source: Xbotics具身智能实验室 · 微信公众号
- Published: 2026-10-30T10:00:00.000Z
- RoboHot: https://robohot.news/en/items/swm6e0rqgp0iauj3bwdvh6qst
- Original: https://mp.weixin.qq.com/s?__biz=MzkyMTc1NTI3Ng==&mid=2247509733&idx=1&sn=d573dfe0611386b68eafb62514d51195&chksm=c0e4fdc9dd9c5701dc4ad0f3b2fe684e2eb56b128f06c21f8c12e419fe85a6fa767dae7b07c7&scene=126&sessionid=1793360725#rd

## Summary

Infinigence AI, together with Tsinghua University and AgiBot, proposed the collective experience learning (CEL) paradigm and completed prototype validation on 96 robots. In a phone packaging task, a policy trained with CEL completed 120 tests on two robots of the same model that did not participate in training, with success rate rising from 79.2% to 98.3%; when the number of robots participating in learning increased from 16 to 96, the test success rate rose from 86.7% to 98.3%.