Publications

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Journal Article
Visual reward machines, Umili, Elena, Argenziano Francesco, Barbin Aymeric, and Capobianco Roberto , Volume {False}, Number {False}, p.False-False, (2023)
Using Spatio-Temporal Affordances to Represent Robot Action Semantics, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.–––-, (2016)
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)
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)
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)
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)
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)
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)
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)
Q-CP: Learning Action Values for Cooperative Planning, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.6469-6475, (2018)
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)
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)
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 Moon Optical Navigation Robotic Facility on Simulated TERrain: MONSTER, Latorre, Francesco, Carbone Andrea, SASIDHARAN Sarathchandrakumar T. H. O. T. T. U. C. H. I. R., Ciabatti Giulia, Spiller Dario, Curti Fabio, and Capobianco Roberto , THE JOURNAL OF THE ASTRONAUTICAL SCIENCES, Volume {False}, Number {False}, p.False-False, (2022)
Memory Replay For Continual Learning With Spiking Neural Networks, Proietti, Michela, Ragno Alessio, and Capobianco Roberto , Volume {False}, Number {False}, p.1-6, (2023)
Living with robots: Interactive environmental knowledge acquisition, Gemignani, Guglielmo, Capobianco Roberto, Bastianelli Emanuele, Bloisi Domenico Daniele, Iocchi Luca, and Nardi Daniele , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {78}, Number {False}, p.1-16, (2016)
Living with robots: Interactive environmental knowledge acquisition, Gemignani, Guglielmo, Capobianco Roberto, Bastianelli Emanuele, Bloisi Domenico Daniele, Iocchi Luca, and Nardi Daniele , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {78}, Number {False}, p.1-16, (2016)
Living with Robots: Interactive Environmental Knowledge Acquisition, Gemignani, Guglielmo, Capobianco Roberto, Bastianelli Emanuele, Bloisi Domenico, Iocchi Luca, and Nardi Daniele , Robotics and Autonomous Systems, Volume 78, p.1–16, (2016)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal}, Proia, Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, and Ragno Rino , JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, Volume {36}, Number {7}, p.483-505, (2022)
Learning to Smooth with Bidirectional Predictive State Inference Machines, Sun, Wen, Capobianco Roberto, Gordon Geoff, Bagnell James, and Boots Byron , Volume {False}, Number {False}, p.706-715, (2016)
Learning to Smooth with Bidirectional Predictive State Inference Machines, Sun, Wen, Capobianco Roberto, Gordon Geoff, Bagnell James, and Boots Byron , Volume {False}, Number {False}, p.706-715, (2016)
Learning human-robot handovers through π-STAM: Policy improvement with spatio-temporal affordance maps, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.857-863, (2016)
Learning human-robot handovers through π-STAM: Policy improvement with spatio-temporal affordance maps, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.857-863, (2016)
Knowledge Representation for Robots through Human-Robot Interaction, Bastianelli, Emanuele, Bloisi Domenico Daniele, Capobianco Roberto, Gemignani Guglielmo, Iocchi Luca, and Nardi Daniele , Workshop on Knowledge Representation and Reasoning in Robotics at the International Conference on Logic Programming (ICLP). arXiv preprint arXiv:1307.7351, (2013)
Knowledge Representation for Robots through Human-Robot Interaction, Bastianelli, Emanuele, Bloisi Domenico, Capobianco Roberto, Gemignani Guglielmo, Iocchi L., and Nardi D. , arXiv preprint arXiv:1307.7351, (2013)
Interactive semantic mapping: Experimental evaluation, Gemignani, Guglielmo, Nardi Daniele, Bloisi Domenico Daniele, Capobianco Roberto, and Iocchi Luca , Volume {109}, Number {False}, p.339-355, (2016)
Interactive semantic mapping: Experimental evaluation, Gemignani, Guglielmo, Nardi Daniele, Bloisi Domenico Daniele, Capobianco Roberto, and Iocchi Luca , Volume {109}, Number {False}, p.339-355, (2016)
Interactive semantic mapping: Experimental evaluation, Gemignani, Guglielmo, Nardi Daniele, Bloisi Domenico Daniele, Capobianco Roberto, and Iocchi Luca , Volume {109}, Number {False}, p.339-355, (2016)
Improved Learning of Dynamics Models for Control, Venkatraman, Arun, Capobianco Roberto, Pinto Lerrel, Hebert Martial, Nardi Daniele, and Bagnell James , Volume {1}, Number {False}, p.703-713, (2017)
Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation, Capobianco, Roberto, Riccio Francesco, and Nardi Daniele , Volume {867}, Number {False}, p.414-427, (2019)
GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.1978-1980, (2020)
Grounding LTLf specifications in images, Umili, Elena, Capobianco Roberto, and De Giacomo Giuseppe , Volume {False}, Number {False}, p.45-63, (2022)
Grounding LTLf Specifications in Image Sequences, Umili, Elena, Capobianco Roberto, and De Giacomo Giuseppe , Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, Volume {False}, Number {False}, p.False-False, (2023)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
Explainable inference on sequential data via memory-tracking, La Rosa, Biagio, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2020)
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening, Proietti, Michela, Ragno Alessio, La Rosa Biagio, Ragno Rino, and Capobianco Roberto , MACHINE LEARNING, Volume {False}, Number {False}, p.False-False, (2023)
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {3}, Number {False}, p.2210-2212, (2018)
Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance, Ciabatti, Giulia, Spiller Dario, Daftry Shreyansh, Capobianco Roberto, and Curti Fabio , Volume {False}, Number {False}, p.False-False, (2022)
Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance, Ciabatti, Giulia, Spiller Dario, Daftry Shreyansh, Capobianco Roberto, and Curti Fabio , Volume {False}, Number {False}, p.101-115, (2023)

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