Reinforcement Learning for Precise and Compact Placement of Irregularly Shaped Objects with Neighbor Constraints
A reinforcement learning approach that learns smooth end-effector motions to place irregularly shaped objects as close as possible to each other while considering neighbor constraints and avoiding collisions.