PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations
Learning a generalizable object manipulation policy is vital for an embodied agent to work in complex real-world scenes. Parts, as the shared components in different object categories, have the potential to increase the generalization ability of the manipulation policy and achieve cross-category object manipulation. In this work, we build the …