Pubblicazioni di Riccio Francesco

2021

Suriani V., Antonioni E., Riccio F., Nardi D.
Coordination and Cooperation in Robot Soccer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021: 215-227

Antonioni Emanuele, Suriani Vincenzo, Riccio Francesco, Nardi Daniele
Game Strategies for Physical Robot Soccer Players: A Survey. IEEE TRANSACTIONS ON GAMES 2021: 342-357

Antonioni Emanuele, Nardi Daniele, Riccio Francesco
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: -

Riccio F., Capobianco R., Nardi D.
LOOP: Iterative learning for optimistic planning on robots. ROBOTICS AND AUTONOMOUS SYSTEMS 2021: 103693-

Kaszuba Sara, Sabbella Sandeep Reddy, Suriani Vincenzo, Riccio Francesco, Nardi Daniele
Suriani Vincenzo, Kaszuba Sara, Sabbella Sandeep R., Riccio Francesco, Nardi Daniele

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

Jaramillo José V., CAPOBIANCO ROBERTO, RICCIO FRANCESCO, NARDI Daniele
Vanzo A., Riccio F., Sharf M., Mirabella V., Catarci T., Nardi D.
Who is Willing to Help Robots? A User Study on Collaboration Attitude. INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS 2020: 589-598

2019

Catacora Ocana J. M., Riccio F., Capobianco R., Nardi D.
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

2018-09-07

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

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

Pronobis Andrzej, Riccio Francesco, Rao Rajesh P. N.
Riccio Francesco, Capobianco Roberto, Nardi Daniele

2016

Bloisi Domenico Daniele, Nardi Daniele, Riccio Francesco, Trapani Francesco
Context in Robotics and Information Fusion. Context-Enhanced Information Fusion. Boosting Real-World Performance with Domain Knowledge 2016: 675-699

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

Riccio Francesco, Vanzo Andrea, Mirabella Valeria, Catarci Tiziana, Nardi Daniele
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

Riccio Francesco, Borzi Emanuele, Gemignani Guglielmo, Nardi Daniele
Multi-robot search for a moving target: Integrating world modeling, task assignment and context. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016: 1879-1886

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

Riccio Francesco, Borzi Emanuele, Gemignani Guglielmo, Nardi Daniele
Context-based coordination for a multi-robot soccer team. RoboCup 2015: Robot World Cup XIX 2015: 276-289

Riccio Francesco, LAZARO GRANON MARIA TERESA, Gemignani Guglielmo, Nardi Daniele
Multi-Robot Perception and Action: World Modeling and Task Allocation. Robotics: Science and Systems (RSS). Workshop in Principles of Multi-Robot Systems 2015: -

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma