Learning Human-Robot Handovers Through $\pi$-STAM: Policy Improvement With Spatio-Temporal Affordance Maps

Francesco Riccio, Roberto Capobianco, Daniele Nardi

Human-robot handovers are characterized by high uncertainty and poor structure of the problem that make them difficult tasks. While machine learning methods have shown promising re…