2026
Towards Robot Skill Learning and Adaptation With Gaussian Processes
A. K. M. Nadimul Haque, Fouad Sukkar, Sheila Sutjipto, Cedric Le Gentil, Marc G. Carmichael, Teresa Vidal-Calleja
RA-L 2026
General robot skill adaptation requires expressive representations robust to varying task configurations. While recent learning-based skill adaptation methods refined via Reinforcement learning (RL) have shown success, existing skill models often lack sufficient representational capacity for anythin