Human video demonstrations provide rich manipulation strategies for dexterous manipulation learning. We study a setting in which a fully specified simulated scene is used to generate videos that specify the demonstrated manipulation behavior. This setup provides access to scene information such as object geometry, arti...
Xiao-Wen Qiu, Yian Wang, Hao-Xiang You et al.· 0 citations
Glove-based motion capture is emerging as a scalable approach to collecting dexterous-hand demonstration data. However, due to the kinematic gap between the human and robot hand, the recorded human motions cannot be executed directly on the robot, especially for contact-rich tool-use tasks involving in-hand reorientati...
Han Yang, Yian Wang, Yun-Long Song et al.· 0 citations
IM-ENGINE, a simulator-grounded pipeline that uses image editing as an intermediate representation for embodied data generation and a combination of generative semantic priors and simulator grounding enables scalable task-relevant supervision for robot learning.
Yian Wang, Jun-Yi Cao, Xiao-Wen Qiu et al.· 0 citations
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