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 ...

A microscale gripper that can be opened and closed using light can fit into tight spaces and perform tasks linked to clinical applications. At the heart of the challenge addressed by Pan and ...

Most buck bedding areas are random and unpredictable, but a tiny 3% are used repeatedly throughout the season. According to a Mississippi State University collared-buck study, these elite bedrooms ...

What if a device could see the world the same way humans do, seeing objects, recognizing them, and understanding what they are in real time? Just like our eyes capture visuals and our brain instantly ...

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 ...