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2020 – today
- 2024
[j4]Simone Caruso, Carmine Dodaro
, Marco Maratea, Marco Mochi, Francesco Riccio:
CNL2ASP: Converting Controlled Natural Language Sentences into ASP. Theory Pract. Log. Program. 24(2): 196-226 (2024)- 2023
- [i7]Simone Caruso, Carmine Dodaro, Marco Maratea, Marco Mochi, Francesco Riccio:
CNL2ASP: converting controlled natural language sentences into ASP. CoRR abs/2311.10505 (2023) - 2022
- [c19]Carmine Dodaro, Marco Maratea, Francesco Riccio:
A Tool for Encoding Controlled Natural Language Specifications as ASP Rules. Datalog 2022: 188-201 - 2021
- [j3]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
LoOP: Iterative learning for optimistic planning on robots. Robotics Auton. Syst. 136: 103693 (2021) - [j2]Emanuele Antonioni, Vincenzo Suriani, Francesco Riccio, Daniele Nardi:
Game Strategies for Physical Robot Soccer Players: A Survey. IEEE Trans. Games 13(4): 342-357 (2021) - [c18]Vincenzo Suriani, Sara Kaszuba, Sandeep Reddy Sabbella, Francesco Riccio, Daniele Nardi:
S-AvE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots. ECMR 2021: 1-8 - [c17]Vincenzo Suriani, Emanuele Antonioni, Francesco Riccio, Daniele Nardi:
Coordination and Cooperation in Robot Soccer. ICCCI 2021: 215-227 - [c16]Emanuele Antonioni, Francesco Riccio, Daniele Nardi:
Improving Sample Efficiency in Behavior Learning by Using Sub-optimal Planners for Robots. RoboCup 2021: 103-114 - [i6]Sara Kaszuba, Sandeep Reddy Sabbella, Vincenzo Suriani, Francesco Riccio, Daniele Nardi:
RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms. CoRR abs/2105.07938 (2021) - 2020
- [j1]Andrea Vanzo, Francesco Riccio, Mahmoud Sharf, Valeria Mirabella, Tiziana Catarci, Daniele Nardi:
Who is Willing to Help Robots? A User Study on Collaboration Attitude. Int. J. Soc. Robotics 12(2): 589-598 (2020) - [c15]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots. AAMAS 2020: 1978-1980
2010 – 2019
- 2019
- [c14]José V. Jaramillo, Roberto Capobianco, Francesco Riccio, Daniele Nardi:
S-AVE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots. AIRO@AI*IA 2019: 47-52 - [c13]Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains. AAMAS 2019: 1865-1867 - [c12]Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task. RoboCup 2019: 44-57 - 2018
- [b1]Francesco Riccio:
Spatial representation for planning and executing robot behaviors in complex environments. Sapienza University of Rome, Italy, 2018 - [c11]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. AAMAS 2018: 2210-2212 - [c10]Roberto Capobianco, Francesco Riccio, Daniele Nardi:
HI-VAL: Iterative Learning of Hierarchical Value Functions for Policy Generation. IAS 2018: 414-427 - [c9]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Q-CP: Learning Action Values for Cooperative Planning. ICRA 2018: 6469-6475 - [i5]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Q-CP: Learning Action Values for Cooperative Planning. CoRR abs/1803.00297 (2018) - [i4]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. CoRR abs/1803.08501 (2018) - 2016
- [c8]Roberto Capobianco, Guglielmo Gemignani, Luca Iocchi, Daniele Nardi, Francesco Riccio, Andrea Vanzo:
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics. AAAI Workshop: Symbiotic Cognitive Systems 2016 - [c7]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Learning human-robot handovers through π-STAM: Policy improvement with spatio-temporal affordance maps. Humanoids 2016: 857-863 - [c6]Francesco Riccio, Emanuele Borzi, Guglielmo Gemignani, Daniele Nardi:
Multi-robot search for a moving target: Integrating world modeling, task assignment and context. IROS 2016: 1879-1886 - [c5]Francesco Riccio, Roberto Capobianco, Marc Hanheide, Daniele Nardi:
STAM: A Framework for Spatio-Temporal Affordance Maps. MESAS 2016: 271-280 - [c4]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Using Monte Carlo Search with Data Aggregation to Improve Robot Soccer Policies. RoboCup 2016: 256-267 - [c3]Francesco Riccio, Andrea Vanzo, Valeria Mirabella, Tiziana Catarci, Daniele Nardi:
Enabling Symbiotic Autonomy in Short-Term Interactions: A User Study. ICSR 2016: 796-807 - [p1]Domenico Daniele Bloisi, Daniele Nardi, Francesco Riccio, Francesco Trapani:
Context in Robotics and Information Fusion. Context-Enhanced Information Fusion 2016: 675-699 - [i3]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies. CoRR abs/1606.00285 (2016) - [i2]Francesco Riccio, Roberto Capobianco, Marc Hanheide, Daniele Nardi:
STAM: A Framework for Spatio-Temporal Affordance Maps. CoRR abs/1607.00354 (2016) - [i1]Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Learning Human-Robot Handovers Through π-STAM: Policy Improvement With Spatio-Temporal Affordance Maps. CoRR abs/1610.02609 (2016) - 2015
- [c2]Francesco Riccio, Emanuele Borzi, Guglielmo Gemignani, Daniele Nardi:
Context-Based Coordination for a Multi-Robot Soccer Team. RoboCup 2015: 276-289
1990 – 1999
- 1998
- [c1]Paola Forcheri, Maria Teresa Molfino, Alfonso Quarati, Francesco Riccio:
A Computer-Based Model for Continuous Training in SMEs. Teleteaching 1998: 313-322
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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