Tsinghua University, CUHK, Zhejiang University, BUCEA and DeepCybo · Humanoid Badminton

Humanoid Badminton

A CoRL 2026 paper (arXiv 2609.31840, 25 September) that teaches a humanoid robot badminton from limited human motion data with three-stage hierarchical reinforcement learning. Motion augmentation turns a few hitting clips into many stroke variations, a high-level planner picks skills from the shuttle's position, and an adversarial regularizer keeps movement natural. The authors say it is the first real-world humanoid racket-sport system to hold multi-skill rallies with human players, including forehand, backhand and jump returns. The page names no robot, gives no numbers and mentions no code release.