A Computer-Based Model for Continuous Training in SMEs. - Paola Forcheri; Maria Teresa Molfino; Alfonso Quarati; Francesco Riccio (Teleteaching, 1998)

Context-Based Coordination for a Multi-Robot Soccer Team. - Francesco Riccio; Emanuele Borzi; Guglielmo Gemignani; Daniele Nardi (RoboCup, 2015)

Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics. - Roberto Capobianco; Guglielmo Gemignani; Luca Iocchi; Daniele Nardi; Francesco Riccio; Andrea Vanzo (AAAI Workshop: Symbiotic Cognitive Systems, 2016)

Learning human-robot handovers through π-STAM: Policy improvement with spatio-temporal affordance maps. - Francesco Riccio; Roberto Capobianco; Daniele Nardi (Humanoids, 2016)

Multi-robot search for a moving target: Integrating world modeling, task assignment and context. - Francesco Riccio; Emanuele Borzi; Guglielmo Gemignani; Daniele Nardi (IROS, 2016)

STAM: A Framework for Spatio-Temporal Affordance Maps. - Francesco Riccio; Roberto Capobianco; Marc Hanheide; Daniele Nardi (MESAS, 2016)

Using Monte Carlo Search with Data Aggregation to Improve Robot Soccer Policies. - Francesco Riccio; Roberto Capobianco; Daniele Nardi (RoboCup, 2016)

Enabling Symbiotic Autonomy in Short-Term Interactions: A User Study. - Francesco Riccio; Andrea Vanzo; Valeria Mirabella; Tiziana Catarci; Daniele Nardi (ICSR, 2016)

Context in Robotics and Information Fusion. - Domenico Daniele Bloisi; Daniele Nardi; Francesco Riccio; Francesco Trapani (Context-Enhanced Information Fusion, 2016)

DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. - Francesco Riccio; Roberto Capobianco; Daniele Nardi (AAMAS, 2018)

HI-VAL: Iterative Learning of Hierarchical Value Functions for Policy Generation. - Roberto Capobianco; Francesco Riccio; Daniele Nardi (IAS, 2018)

Q-CP: Learning Action Values for Cooperative Planning. - Francesco Riccio; Roberto Capobianco; Daniele Nardi (ICRA, 2018)

Spatial representation for planning and executing robot behaviors in complex environments. - Francesco Riccio (2018)

S-AVE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots. - José V. Jaramillo; Roberto Capobianco; Francesco Riccio; Daniele Nardi (AIRO@AI*IA, 2019)

Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains. - Jim Martin Catacora Ocana; Francesco Riccio; Roberto Capobianco; Daniele Nardi (AAMAS, 2019)

Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task. - Jim Martin Catacora Ocana; Francesco Riccio; Roberto Capobianco; Daniele Nardi (RoboCup, 2019)

GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots. - Francesco Riccio; Roberto Capobianco; Daniele Nardi (AAMAS, 2020)

Who is Willing to Help Robots? A User Study on Collaboration Attitude. - Andrea Vanzo; Francesco Riccio; Mahmoud Sharf; Valeria Mirabella; Tiziana Catarci; Daniele Nardi (Int. J. Soc. Robotics, 2020)

S-AvE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots. - Vincenzo Suriani; Sara Kaszuba; Sandeep Reddy Sabbella; Francesco Riccio; Daniele Nardi (ECMR, 2021)

Coordination and Cooperation in Robot Soccer. - Vincenzo Suriani; Emanuele Antonioni; Francesco Riccio; Daniele Nardi (ICCCI, 2021)

Improving Sample Efficiency in Behavior Learning by Using Sub-optimal Planners for Robots. - Emanuele Antonioni; Francesco Riccio; Daniele Nardi (RoboCup, 2021)

RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms. - Sara Kaszuba; Sandeep Reddy Sabbella; Vincenzo Suriani; Francesco Riccio; Daniele Nardi (CoRR, 2021)

LoOP: Iterative learning for optimistic planning on robots. - Francesco Riccio; Roberto Capobianco; Daniele Nardi (Robotics Auton. Syst., 2021)

Game Strategies for Physical Robot Soccer Players: A Survey. - Emanuele Antonioni; Vincenzo Suriani; Francesco Riccio; Daniele Nardi (IEEE Trans. Games, 2021)

A Tool for Encoding Controlled Natural Language Specifications as ASP Rules. - Carmine Dodaro; Marco Maratea; Francesco Riccio (Datalog, 2022)

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration. - Borja G. León; Francesco Riccio; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (NeurIPS, 2024)

CNL2ASP: Converting Controlled Natural Language Sentences into ASP. - Simone Caruso; Carmine Dodaro; Marco Maratea; Marco Mochi; Francesco Riccio (Theory Pract. Log. Program., 2024)