Publications

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2023
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)
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)
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)
Memory Replay For Continual Learning With Spiking Neural Networks, Proietti, Michela, Ragno Alessio, and Capobianco Roberto , Volume {False}, Number {False}, p.1-6, (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)
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)
Visual reward machines, Umili, Elena, Argenziano Francesco, Barbin Aymeric, and Capobianco Roberto , Volume {False}, Number {False}, p.False-False, (2023)
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.False-False, (2022)
Grounding LTLf specifications in images, Umili, Elena, Capobianco Roberto, and De Giacomo Giuseppe , Volume {False}, Number {False}, p.45-63, (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)
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)
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)
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)
2021
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning, Ciabatti, Giulia, Daftry Shreyansh, and Capobianco Roberto , Volume {False}, Number {False}, p.2031-2038, (2021)
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning, Ciabatti, Giulia, Daftry Shreyansh, and Capobianco Roberto , Volume {False}, Number {False}, p.2031-2038, (2021)
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning, Ciabatti, Giulia, Daftry Shreyansh, and Capobianco Roberto , Volume {False}, Number {False}, p.2031-2038, (2021)
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 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 , Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), (2020)
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)
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)
2019
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)
2018
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {3}, Number {False}, p.2210-2212, (2018)
Efficient long-term mapping in dynamic environments, Lázaro, María T., Capobianco Roberto, and Grisetti Giorgio , 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), p.153–160, (2018)
Q-CP: Learning Action Values for Cooperative Planning, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.6469-6475, (2018)
2017
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)
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)
RoCKIn@Home: Domestic Robots Challenge, Iocchi, Luca, Kraetzschmar G., Nardi Daniele, Lima Pedro U., Miraldo Pedro, Bastianelli Emanuele, and Capobianco Roberto , RoCKIn - Benchmarking Through Robot Competitions, Rijeka, (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 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)
2016
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics, Capobianco, Roberto, Gemignani Guglielmo, Iocchi Luca, Nardi Daniele, Riccio Francesco, and Vanzo Andrea , Volume {False}, Number {False}, p.733-736, (2016)
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics, Capobianco, Roberto, Gemignani Guglielmo, Iocchi Luca, Nardi Daniele, Riccio Francesco, and Vanzo Andrea , Volume {False}, Number {False}, p.733-736, (2016)
Interactive Semantic Mapping: Experimental Evaluation, Gemignani, Guglielmo, Nardi Daniele, Bloisi Domenico Daniele, Capobianco Roberto, and Iocchi Luca , Experimental Robotics: The 14th International Symposium on Experimental Robotics, Volume 109, 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)
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)
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)
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)
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)

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