Contact-Guided Exploration for Non-Prehensile Locomanipulation With Multi-Critic RL
This work proposes a contact-guided exploration strategy implemented within a Multi-Critic Reinforcement Learning (RL) framework, and obtains candidate interaction points from a general-purpose grasping algorithm, enabling the exploration mechanism to generalise across various object geometries.