Pubblicazioni di Capobianco Roberto
2023
Ciabatti Giulia, Spiller Dario, Daftry Shreyansh, Capobianco Roberto, Curti Fabio
Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance. AII 2022: The Use of Artificial Intelligence for Space Applications 2023: 101-115
Proietti Michela, Ragno Alessio, Rosa Biagio La, Ragno Rino, Capobianco Roberto
Umili Elena, Capobianco Roberto, DE GIACOMO Giuseppe
Grounding LTLf Specifications in Image Sequences. Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning 2023: -
Proietti Michela, Ragno Alessio, Capobianco Roberto
Memory Replay For Continual Learning With Spiking Neural Networks. 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) 2023: 1-6
LA ROSA Biagio, Blasilli Graziano, Bourqui Romain, Auber David, Santucci Giuseppe, Capobianco Roberto, Bertini Enrico, Giot Romain, Angelini Marco
State of the Art of Visual Analytics for eXplainable Deep Learning. COMPUTER GRAPHICS FORUM 2023: -
LA ROSA Biagio, Gilpin Leilani H., Capobianco Roberto
Towards a fuller understanding of neurons with Clustered Compositional Explanations. Advances in Neural Information Processing Systems 2023: 70333-70354
Borzillo Caterina, Ragno Alessio, Capobianco Roberto
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes. CEUR Workshop Proceedings Vol-3518 2023: -
Umili Elena, Argenziano Francesco, Barbin Aymeric, Capobianco Roberto
Visual reward machines. 17th International Workshop on Neural-Symbolic Learning and Reasoning 2023: -
2022
La Rosa B., Capobianco R., Nardi D.
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking. CEUR Workshop Proceedings 2022: 33-44
Latorre Francesco, Carbone Andrea, THOTTUCHIRAYIL SASIDHARAN Sarathchandrakumar, Ciabatti Giulia, Spiller Dario, Curti Fabio, Capobianco Roberto
A Moon Optical Navigation Robotic Facility on Simulated TERrain: MONSTER. THE JOURNAL OF THE ASTRONAUTICAL SCIENCES 2022: -
La Rosa B, Capobianco R, Nardi D
A self-interpretable module for deep image classification on small data. APPLIED INTELLIGENCE 2022: -
Makinwa S. M., La Rosa B., Capobianco R.
Umili Elena, Capobianco Roberto, DE GIACOMO Giuseppe
Grounding LTLf specifications in images. Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning 2022: 45-63
Proia Eleonora, Ragno Alessio, Antonini Lorenzo, Sabatino Manuela, Mladenović Milan, Capobianco Roberto, Ragno Rino
Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN 2022: 483-505
Wurman P. R., Barrett S., Kawamoto K., MacGlashan J., Subramanian K., Walsh T. J., Capobianco R., Devlic A., Eckert F., Fuchs F., Gilpin L., Khandelwal P., Kompella V., Lin H. C., MacAlpine P., Oller D., Seno T., Sherstan C., Thomure M. D., Aghabozorgi H., Barrett L., Douglas R., Whitehead D., Durr P., Stone P., Spranger M., Kitano H.
Outracing champion Gran Turismo drivers with deep reinforcement learning. NATURE 2022: 223-228
Singh S., Daftry S., Capobianco R., Vincelli F.
Planetary Environment Prediction Using Generative Modeling. AIAA SCITECH Forum 2022: -
Ragno Alessio, LA ROSA Biagio, Capobianco Roberto
Prototype-based Interpretable Graph Neural Networks. IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE 2022: 1-11
2021
Capobianco R., Kompella V., Ault J., Sharon G., Jong S., Fox S., Meyers L., Wurman P. R., Stone P.
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies. THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 2021: 953-992
Ciabatti Giulia, Daftry Shreyansh, Capobianco Roberto
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2021: 2031-2038
Umili Elena, Antonioni Emanuele, Riccio Francesco, Capobianco Roberto, Nardi Daniele, De Giacomo Giuseppe
Learning a Symbolic Planning Domain through the Interaction with Continuous Environments. Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), workshop at ICAPS 2021 2021: -
Ciabatti G., Daftry S., Capobianco R.
Learning transferable policies for autonomous planetary landing via deep reinforcement learning. Accelerating Space Commerce, Exploration, and New Discovery conference, ASCEND 2021 2021: -
Riccio F., Capobianco R., Nardi D.
LOOP: Iterative learning for optimistic planning on robots. ROBOTICS AND AUTONOMOUS SYSTEMS 2021: 103693-
Sharon G., Ault J., Stone P., Kompella V., Capobianco R.
Multiagent epidemiologic inference through realtime contact tracing. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems 2021: 1170-1178
2020
La Rosa Biagio, Capobianco Roberto, Nardi Daniele
Explainable inference on sequential data via memory-tracking. Proceedings of the 29th International Joint Conference on Artificial Intelligence 2020: -
RICCIO FRANCESCO, CAPOBIANCO ROBERTO, NARDI Daniele
GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots. AAMAS 2020 : International Conference on Autonomous Agents and Multi-Agent Systems 2020 2020: 1978-1980
Kompella V., Capobianco R., Jong S., Browne J., Fox S., Meyers L., Wurman P., Stone P.
Reinforcement learning for optimization of COVID-19 mitigation policies. CEUR Workshop Proceedings 2020: -
Jaramillo José V., CAPOBIANCO ROBERTO, RICCIO FRANCESCO, NARDI Daniele
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots. AIRO 2019 Artificial Intelligence and Robotics 2020: 1-6
2019
Catacora Ocana J. M., Riccio F., Capobianco R., Nardi D.
Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task. RoboCup 2019: Robot World Cup XXIII 2019: 44-57
CATACORA OCANA JIM MARTIN, Capobianco R., Riccio F., Nardi D.
Cooperative multi-agent deep reinforcement learning in soccer domains. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019: 1865-1867
Capobianco Roberto, Riccio Francesco, Nardi Daniele
Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation. Intelligent Autonomous Systems 15. Proceedings of the 15th InternationalConference IAS-15 2019: 414-427
2018
Riccio Francesco, Capobianco Roberto, Nardi Daniele
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems 2018: 2210-2212
Lazaro M. T., Capobianco R., Grisetti G.
Efficient Long-term Mapping in Dynamic Environments. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018: 153-160
Riccio Francesco, Capobianco Roberto, Nardi Daniele
Q-CP: Learning Action Values for Cooperative Planning. 2018 IEEE International Conference on Robotics and Automation (ICRA) 2018: 6469-6475
2017-02-21
Capobianco Roberto
2017
Venkatraman Arun, Capobianco Roberto, Pinto Lerrel, Hebert Martial, Nardi Daniele, Bagnell James
Improved Learning of Dynamics Models for Control. 2016 International Symposium on Experimental Robotics 2017: 703-713
Iocchi Luca, Kraetzschmar G., Nardi Daniele, Lima Pedro U., Miraldo Pedro, Bastianelli Emanuele, Capobianco Roberto
RoCKIn@Home: domestic robots challenge. RoCKIn. Benchmarking through robot competitions 2017: 25-46
Riccio Francesco, Capobianco Roberto, Nardi Daniele
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies. RoboCup 2016: Robot World Cup XX 2017: 256-267
2016
Capobianco Roberto, Gemignani Guglielmo, Iocchi Luca, Nardi Daniele, Riccio Francesco, Vanzo Andrea
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics. The workshops of the Thirtieth AAAI Conference on Artificial Intelligence 2016: 733-736
Gemignani Guglielmo, Nardi Daniele, Bloisi Domenico Daniele, Capobianco Roberto, Iocchi Luca
Interactive semantic mapping: Experimental evaluation. Experimental Robotics. The 14th International Symposium on Experimental Robotics 2016: 339-355
Riccio Francesco, Capobianco Roberto, Nardi Daniele
Learning human-robot handovers through π-STAM: Policy improvement with spatio-temporal affordance maps. 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids) 2016: 857-863
Sun Wen, Capobianco Roberto, Gordon Geoff, Bagnell James, Boots Byron
Learning to Smooth with Bidirectional Predictive State Inference Machines. Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence 2016: 706-715
Gemignani Guglielmo, Capobianco Roberto, Bastianelli Emanuele, Bloisi Domenico Daniele, Iocchi Luca, Nardi Daniele
Living with robots: Interactive environmental knowledge acquisition. ROBOTICS AND AUTONOMOUS SYSTEMS 2016: 1-16
Riccio Francesco, Capobianco Roberto, Hanheide Marc, Nardi Daniele
STAM: A framework for spatio-temporal affordance maps. Modelling and Simulation for Autonomous Systems 2016: 271-280
Riccio Francesco, Capobianco Roberto, Nardi Daniele
Using Spatio-Temporal Affordances to Represent Robot Action Semantics. Machine Learning Methods for High-Level Cognitive Capabilities in Robotics 2016: -------
2015
Capobianco Roberto, Serafin Jacopo, Dichtl J, Grisetti Giorgio, Iocchi Luca, Nardi Daniele
A Proposal for Semantic Map Representation and Evaluation. 2015 European Conference on Mobile Robots (ECMR 2015) 2015: 1-6
Gemignani Guglielmo, Capobianco Roberto, Nardi Daniele
Approaching Qualitative Spatial Reasoning About Distances and Directions in Robotics. AI*IA 2015 Advances in Artificial Intelligence 2015: 452-464
2014
CAPOBIANCO ROBERTO, GEMIGNANI GUGLIELMO, BLOISI Domenico Daniele, NARDI Daniele, IOCCHI Luca
Automatic Extraction of Structural Representations of Environments. Proceedings 13th Intelligent Autonomous System Conference 2014: 721-733
Gemignani Guglielmo, Nardi Daniele, Capobianco Roberto, Bloisi Domenico Daniele, Iocchi Luca
Interactive Semantic Mapping: Experimental Evaluation. Proceedings of ISER'14, the International Symposium on Experimental Robotics 2014: 339-355
Capobianco Roberto, Gemignani Guglielmo, Nardi Daniele, Bloisi Domenico Daniele, Iocchi Luca
Knowledge-Based Reasoning on Semantic Maps. AAAI Spring Symposium Series 2014: -