Abstract: Deformable linear object (DLO) manipulation in constrained environments with obstacles has received limited investigations due to DLO's complex intrinsic deformation. In this study, we focus ...
We introduce TASTE-Rob: 1) a dataset with 100,856 task-oriented hand-object interaction videos, 2) a three-stage pose-refinement video generation pipeline. With the above contributions, TASTE-Rob is ...
Abstract: Cross-embodiment learning enables robots to acquire manipulation skills by learning from demonstrations provided by different embodiments. However, most existing research on cross-embodiment ...
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