2 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
Learning Human-Robot Handovers Through -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…
STAM: A Framework for Spatio-Temporal Affordance Maps
Francesco Riccio, Roberto Capobianco, Marc Hanheide +1
Affordances have been introduced in literature as action opportunities that objects offer, and used in robotics to semantically represent their interconnection. However, when consi…
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies
Francesco Riccio, Roberto Capobianco, Daniele Nardi
RoboCup soccer competitions are considered among the most challenging multi-robot adversarial environments, due to their high dynamism and the partial observability of the environm…