Isidoros Marougkas

Integrating Model-Based Control and RL for Sim2Real Transfer of Tight Insertion Policies

Object insertion under tight tolerances (<Imm) is an important but challenging assembly task as even small errors can result in undesirable contacts. Recent efforts focused on Reinforcement Learning (RL), which often depends on careful definition of dense reward functions. This work proposes an effe