Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking
Research
Source: arXiv cs.ROPublish time unverified
arXiv:2608.20087v1 Announce Type: new Abstract: Humanoid robots have recently demonstrated promising capabilities in real-world ball sports. However, achieving professional motion styles while maintaining strong task performance remains challenging. In this work, we propose AdaPT, an Adaptive Motion Planning and Tracking framework that learns professional tennis serving and rally styles directly from broadcast videos.