CORTEXA
← Browse

Han Yu

2 papers indexed

arxivcs.RO2026-07-22

Extreme-RGMT: Continual Learning of Highly Dynamic Skills for Robust Generalist Humanoid Control

Yubiao Ma, Han Yu, Kai Guo, Changtai Lv, Zhengquan Mao, Boyang Xing, et al.

Humans can progressively acquire highly dynamic motor skills while preserving reliable everyday motor abilities. In contrast, existing humanoid controllers face a trade-off between generalist and specialist capabilities: generalist motion tracking policies struggle to reliably ex…

View free PDFSource page
arxivcs.RO2026-07-15

Ego-Dynamics-Augmented World Model for Autonomous Driving with Zero-Shot Cross-Chassis Adaptation

Zhidong Wang, Jingsong Liang, Zirui Li, Zhan Chen, Han Yu, Chen Lv

World model (WM)-based reinforcement learning enables sample-efficient end-to-end autonomous driving learning by imagining long-horizon trajectories in latent space. However, most driving WMs operate on bird's-eye-view (BEV) representations that are inherently egocentric: the tra…

View free PDFSource page