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Yuheng Zhou

3 accepted papers

2026

DockAnywhere: Data-Efficient Visuomotor Policy Learning for Mobile Manipulation via Novel Demonstration Generation

RA-L 2026

Mobile manipulation is a fundamental capability that enables robots to interact in expansive environments such as homes and factories. Most existing approaches follow a two-stage paradigm, where the robot first navigates to a docking point and then performs fixed-base manipulation using powerful vis

Cited by 0SourcecodeScholar
2025

MoManipVLA: Transferring Vision-language-action Models for General Mobile Manipulation

CVPR 2025poster

Mobile manipulation is the fundamental challenge for robotics to assist humans with diverse tasks and environments in everyday life. However, conventional mobile manipulation approaches often struggle to generalize across different tasks and environments because of the lack of large-scale training.I…

Cited by 2SourcePDFScholar