← Search

Zepeng Wang

2 accepted papers

2025

CROSSER: Learning Generalizable Humanoid Locomotion Through Inverse Dynamics-Guided Cross-Simulator Adaptation

RA-L 2025

The reality gap between simulation and real-world dynamics critically hinders the deployment of robust humanoid locomotion policies, as policies trained in a single simulator often overfit to domain-specific dynamics. To address this challenge, we propose CROSSER (Inverse Dynamics-Guided Cross-Simul

Cited by 1SourceScholar