Hoang–Giang Cao

Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors

Picking cluttered general objects is a challenging task due to the complex geometries and various stacking configurations. Many prior works utilize pose estimation for picking, but pose estimation is difficult on cluttered objects. In this paper, we propose Cluttered Objects Descriptors (CODs), a de…