Publications

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2015
Context-based coordination for a multi-robot soccer team, Riccio, Francesco, Borzi Emanuele, Gemignani Guglielmo, and Nardi Daniele , Volume {9513}, Number {False}, p.276-289, (2015)
Context-Based Coordination for a Multi-Robot Soccer Team, Riccio, Francesco, Borzi Emanuele, Gemignani Guglielmo, and Nardi Daniele , RoboCup 2015: Robot World Cup XIX, p.276–289, (2015)
Multi Robot Perception and Action: World Modeling and Task Allocation, Riccio, Francesco, Lázaro Maria T., Gemignani Guglielmo, and Nardi Daniele , RSS Workshop on Principle of multi-robot systems, (2015)
Multi-Robot Perception and Action: World Modeling and Task Allocation, Riccio, Francesco, GRANON MARIA T. E. R. E. S. A. L. A. Z., Gemignani Guglielmo, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2015)
2016
Context in Robotics and Information Fusion, Bloisi, Domenico Daniele, Nardi Daniele, Riccio Francesco, and Trapani Francesco , Volume {False}, Number {False}, p.675-699, (2016)
Context in Robotics and Information Fusion, Bloisi, Domenico D., Nardi Daniele, Riccio Francesco, and Trapani Francesco , Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge, p.675–699, (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)
Enabling symbiotic autonomy in short-term interactions: A user study, Riccio, Francesco, Vanzo Andrea, Mirabella Valeria, Catarci Tiziana, and Nardi Daniele , Volume {9979}, Number {False}, p.796-807, (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)
Multi-robot search for a moving target: Integrating world modeling, task assignment and context, Riccio, Francesco, Borzi Emanuele, Gemignani Guglielmo, and Nardi Daniele , Volume {False}, Number {False}, p.1879-1886, (2016)
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)
Using Spatio-Temporal Affordances to Represent Robot Action Semantics, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.–––-, (2016)
2017
Deep Spatial Affordance Hierarchy: Spatial Knowledge Representation for Planning in Large-scale Environments, Pronobis, Andrzej, Riccio Francesco, and Rao Rajesh P. N. , (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)
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)
Q-CP: Learning Action Values for Cooperative Planning, Riccio, Francesco, Capobianco Roberto, and Nardi Daniele , Volume {False}, Number {False}, p.6469-6475, (2018)
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)
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)
2021
Coordination and Cooperation in Robot Soccer, Suriani, Vincenzo, Antonioni Emanuele, Riccio Francesco, and Nardi Daniele , International Conference on Computational Collective Intelligence, p.215–227, (2021)
Game Strategies for Physical Robot Soccer Players: A Survey, Antonioni, Emanuele, Suriani Vincenzo, Riccio Francesco, and Nardi Daniele , IEEE Transactions on Games, (2021)
Game Strategies for Physical Robot Soccer Players: A Survey, Antonioni, Emanuele, Suriani Vincenzo, Riccio Francesco, and Nardi Daniele , IEEE TRANSACTIONS ON GAMES, Volume {13}, Number {4}, p.342-357, (2021)
Improving Sample Efficiency in Behavior Learning by Using Sub-optimal Planners for Robots, Antonioni, Emanuele, Nardi Daniele, and Riccio Francesco , Volume {False}, Number {False}, p.False-False, (2021)
Improving Sample Efficiency in Behavior Learning by Using Sub-optimal Planners for Robots, Antonioni, Emanuele, Nardi Daniele, and Riccio Francesco , Volume {False}, Number {False}, p.False-False, (2021)
Improving Sample Efficiency in Behavior Learning by Using Sub-optimal Planners for Robots, Antonioni, Emanuele, Nardi Daniele, and Riccio Francesco , Volume {False}, Number {False}, p.False-False, (2021)
Improving Sample Efficiency in Behavior Learning by Using Sub-optimal Planners for Robots, Antonioni, Emanuele, Nardi Daniele, and Riccio Francesco , Volume {False}, Number {False}, p.False-False, (2021)
RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms, Kaszuba, Sara, Sabbella Sandeep Reddy, Suriani Vincenzo, Riccio Francesco, and Nardi Daniele , arXiv preprint arXiv:2105.07938, (2021)
RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms, Kaszuba, Sara, Sabbella Sandeep Reddy, Suriani Vincenzo, Riccio Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.False-False, (2021)
S-AvE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots, Suriani, Vincenzo, Kaszuba Sara, Sabbella Sandeep R., Riccio Francesco, and Nardi Daniele , 2021 European Conference on Mobile Robots (ECMR), p.1–8, (2021)
S-AvE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots, Suriani, Vincenzo, Kaszuba Sara, Sabbella Sandeep R., Riccio Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.1-8, (2021)
S-AvE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots, Suriani, Vincenzo, Kaszuba Sara, Sabbella Sandeep R., Riccio Francesco, and Nardi Daniele , Volume {False}, Number {False}, p.1-8, (2021)