Alireza Rastegarpanah

Imitation learning for sim-to-real adaptation of robotic cutting policies based on residual Gaussian process disturbance force model

Robotic cutting, a crucial task in applications such as disassembly and decommissioning, faces challenges due to uncertainties in real-world environments. This paper presents a novel approach to enhance sim-to-real transfer of robotic cutting policies, leveraging a hybrid method integrating Gaussian…