Erwan Renaudo - Publications

Affiliations: 
2012-2016 CNRS / UPMC - ISIR 

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Renaudo E, Zech P, Chatila R, Khamassi M. Editorial: Computational models of affordance for robotics. Frontiers in Neurorobotics. 16: 1045355. PMID 36277333 DOI: 10.3389/fnbot.2022.1045355  0.72
2019 Zech P, Renaudo E, Haller S, Zhang X, Piater J. Action representations in robotics: A taxonomy and systematic classification The International Journal of Robotics Research. 38: 518-562. DOI: 10.1177/0278364919835020  0.658
2018 Chatila R, Renaudo E, Andries M, Chavez-Garcia RO, Luce-Vayrac P, Gottstein R, Alami R, Clodic A, Devin S, Girard B, Khamassi M. Toward Self-Aware Robots. Frontiers in Robotics and Ai. 5: 88. PMID 33500967 DOI: 10.3389/frobt.2018.00088  0.716
2018 Chatila R, Renaudo E, Andries M, Chavez-Garcia R, Luce-Vayrac P, Gottstein R, Alami R, Clodic A, Devin S, Girard B, Khamassi M. Toward Self-Aware Robots Frontiers in Robotics and Ai. 5. DOI: 10.3389/frobt.2018.00088  0.695
2016 Réguigne-Khamassi M, Girard B, Clodic A, Devin S, Renaudo E, Pacherie E, Alami R, Chatila R. Integration of Action, Joint Action and Learning in Robotics Cognitive Architectures Intellectica. Revue De L'Association Pour La Recherche Cognitive. 65: 169-203. DOI: 10.3406/Intel.2016.1794  0.759
2015 Renaudo E, Girard B, Chatila R, Khamassi M. Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture Procedia Computer Science. 71: 178-184. DOI: 10.1016/J.Procs.2015.12.194  0.713
2014 Renaudo E, Girard B, Chatila R, Khamassi M. Design of a control architecture for habit learning in robots Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8608: 249-260. DOI: 10.1007/978-3-319-09435-9_22  0.714
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