2025
Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning
ICRA 2025
We investigate the problem of teaching a robot manipulator to perform dynamic non-prehensile object transport, also known as the ‘robot waiter’ task, from a limited set of real-world demonstrations. We propose an approach that combines batch reinforcement learning (RL) with modelpredictive control (