# Tsinghua's Zhao Mingguo team publishes Science Robotics paper proposing a unified perception-motion reinforcement learning framework for vision-driven humanoid soccer skills

- Source: 加速进化 · 微信公众号
- Published: 2026-08-20T10:25:42.000Z
- RoboHot: https://robohot.news/en/items/atw4mowjueppvv1ucv4se056l
- Original: https://mp.weixin.qq.com/s?__biz=MzkyNzYwOTc5MQ==&mid=2247486373&idx=1&sn=f6a928af96720b32448549708c16d4dd&chksm=c3d3256d7c6235c268d41a5e41ab8cc87118920db466a52c6c26f1919860dc07ff0d0712392e&scene=126&sessionid=1792492226#rd

## Summary

On August 19, Professor Zhao Mingguo's team in Tsinghua University's Department of Automation published the paper "Learning Vision-Driven Reactive Soccer Skills for Humanoid Robots" in Science Robotics, selected for the August 2026 humanoid robotics special issue; the robot platform used was a humanoid robot independently developed by Booster.

## Why it matters

The paper breaks down three failure points of the traditional perception-planning-control pipeline and presents a reproducible sim-to-real transfer method.