# HKU MMLAB releases PhysicalRSI 1.0, tops RoboDojo and sharply cuts token costs

- Source: 深圳市机器人协会 · 微信公众号
- Published: 2026-10-13T08:57:16.000Z
- RoboHot: https://robohot.news/en/items/jfagdl84kxqyh8o7x5rzyor98
- Original: https://mp.weixin.qq.com/s?__biz=MzU3MjQ2MDcwNQ==&mid=2247780491&idx=2&sn=e6d4e0d339457252f95d618cb8349283&chksm=fd992459f10b24b9dcd48212bdd1ae1f38a2ec2dcf0845ae37e42a74b31515495b9024793fba&scene=126&sessionid=1792402455#rd

## Summary

The University of Hong Kong's MMLAB jointly released PhysicalRSI 1.0, a self-evolving embodied intelligence system baseline, achieving a score of 36.27 and an average task success rate of 31.38% on RoboDojo, ranking first.

## Why it matters

The material provides the specific mechanisms of the self-evolving baseline and comparison data with general large models, allowing readers to understand the causes of shortcomings in precision manipulation and paths for improvement.