Tactile-based Active Inference for Force-Controlled Peg-in-Hole Insertions

Tatsuya Kamijo, Ixchel G. Ramirez-Alpizar, Enrique Coronado +1

Reinforcement Learning (RL) has shown great promise for efficiently learning force control policies in peg-in-hole tasks. However, robots often face difficulties due to visual occl…