Author

Chao Yu

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Preprint Sep 2026

Humanoid Badminton: Learning Dynamic Racket Skills from Limited Human Motion Data

This is the first real-world humanoid racket-sport system to demonstrate multi-skill human--robot rallies including highly dynamic jump returns, and is the first real-world humanoid racket-sport system to demonstrate multi-skill human--robot rallies including highly dynamic jump returns.

Jing-Zhi Cui, Zhe-Xiong Wang, Bang-Jie Xu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Demonstration-Free Success-Probability Reward Learning for Generalist Robot Policies

This work introduces eVTA, which learns success probabilities from mixed-quality policy rollouts through temporal-difference-style bootstrapping, without expert demonstrations or intermediate annotations, and introduces RL with Evolving Rewards (RLER), a closed-loop framework that adapts eVTA using newly collected roll...

Duo Wu, Hai-Feng Wang, Rongwei Lu et al. · 0 citations

Preprint Jul 2026

LAMP: Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation

A latent motion prior module (\prior{}) is introduced that maps recent hand-action histories to a compact, history-conditioned latent prior and decodes continuous latent commands into executable high-dimensional hand targets and improves the policy with online residual RL in the same latent hand-action space.

Xinye Yang, Zhiyuan Ma, Hongze Yu et al. · 0 citations