2 papers
cs.RO2026
PRISM: Personalized Refinement of Imitation Skills for Manipulation via Human Instructions
Arnau Boix-Granell, Alberto San-Miguel-Tello, Magí Dalmau-Moreno +1
This paper presents PRISM: an instruction-conditioned refinement method for imitation policies in robotic manipulation. This approach bridges Imitation Learning (IL) and Reinforcem…
cs.RO2025
Advances on Affordable Hardware Platforms for Human Demonstration Acquisition in Agricultural Applications
Alberto San-Miguel-Tello, Gennaro Scarati, Alejandro Hernández +3
This paper presents advances on the Universal Manipulation Interface (UMI), a low-cost hand-held gripper for robot Learning from Demonstration (LfD), for complex in-the-wild scenar…