Representations in Robot Manipulation: Learning to Manipulate Ropes, Fabrics, Bags, and Liquids

3305 Newell-Simon Hall

Abstract: The robotics community has seen significant progress in applying machine learning for robot manipulation. However, much manipulation research focuses on rigid objects instead of highly deformable objects such as ropes, fabrics, bags, and liquids, which pose challenges due to their complex configuration spaces, dynamics, and self-occlusions. To achieve greater progress in robot manipulation of [...]