activity
20162021
most citedRoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms

2 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO20212 cited

RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms

Sara Kaszuba, Sandeep Reddy Sabbella, Vincenzo Suriani +2

Human-robot interaction requires a common understanding of the operational environment, which can be provided by a representation that blends geometric and symbolic knowledge: a se…

cs.RO2018

DOP: Deep Optimistic Planning with Approximate Value Function Evaluation

Francesco Riccio, Roberto Capobianco, Daniele Nardi

Research on reinforcement learning has demonstrated promising results in manifold applications and domains. Still, efficiently learning effective robot behaviors is very difficult,…

cs.RO2018

Q-CP: Learning Action Values for Cooperative Planning

Francesco Riccio, Roberto Capobianco, Daniele Nardi

Research on multi-robot systems has demonstrated promising results in manifold applications and domains. Still, efficiently learning an effective robot behaviors is very difficult,…

cs.RO20161 cited

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…

cs.RO2016

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…