Publications

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Journal Article
A Proposal for Semantic Map Representation and Evaluation, Capobianco, Roberto, Serafin Jacopo, Dichtl J, Grisetti Giorgio, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.1-6, (2015)
A Proposal for Semantic Map Representation and Evaluation, Capobianco, Roberto, Serafin Jacopo, Dichtl J, Grisetti Giorgio, Iocchi Luca, and Nardi Daniele , Volume {False}, Number {False}, p.1-6, (2015)
Prototype-based Interpretable Graph Neural Networks, Ragno, Alessio, La Rosa Biagio, and Capobianco Roberto , IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, Volume {False}, Number {False}, p.1-11, (2022)
Q-CP: Learning Action Values for Cooperative Planning, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.6469-6475, (2018)
RoCKIn-Benchmarking Through Robot Competitions, Saffiotti, Alessandro, Van Der Zant Tijn, Lima Pedro U., Iocchi Luca, Kraetzschmar Gerhard K., Nardi Daniele, Miraldo Pedro, Bastianelli Emanuele, and Capobianco Roberto , (2017)
RoCKIn@Home: domestic robots challenge, Iocchi, Luca, Kraetzschmar G., Nardi Daniele, Lima Pedro U., Miraldo Pedro, Bastianelli Emanuele, and Capobianco Roberto , Volume {False}, Number {False}, p.25-46, (2017)
RoCKIn@Home: domestic robots challenge, Iocchi, Luca, Kraetzschmar G., Nardi Daniele, Lima Pedro U., Miraldo Pedro, Bastianelli Emanuele, and Capobianco Roberto , Volume {False}, Number {False}, p.25-46, (2017)
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots, Jaramillo, José V., Capobianco Roberto, Riccio Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.1-6, (2020)
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots, Jaramillo, José V., Capobianco Roberto, Riccio Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.1-6, (2020)
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots, Jaramillo, José V., Capobianco Roberto, Riccio Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.1-6, (2020)
STAM: A framework for spatio-temporal affordance maps, Riccio, Francesco, Capobianco Roberto, Hanheide Marc, and Nardi Daniele , Volume {9991}, Number {False}, p.271-280, (2016)
State of the Art of Visual Analytics for eXplainable Deep Learning, La Rosa, Biagio, Blasilli Graziano, Bourqui Romain, Auber David, Santucci Giuseppe, Capobianco Roberto, Bertini Enrico, Giot Romain, and Angelini Marco , COMPUTER GRAPHICS FORUM, Volume {False}, Number {False}, p.False-False, (2023)
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes, Borzillo, Caterina, Ragno Alessio, and Capobianco Roberto , Volume {False}, Number {False}, p.False-False, (2023)
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {9776}, Number {False}, p.256-267, (2017)
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {9776}, Number {False}, p.256-267, (2017)
Using Spatio-Temporal Affordances to Represent Robot Action Semantics, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.–––-, (2016)
Visual reward machines, Umili, Elena, Argenziano Francesco, Barbin Aymeric, and Capobianco Roberto , Volume {False}, Number {False}, p.False-False, (2023)

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