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hal-00089153v1  Conference papers
Olivier LebeltelJulien DiardPierre BessièreEmmanuel Mazer. A Bayesian framework for robotic programming
Twentieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2000), 2000, Paris, France
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hal-00827889v1  Conference papers
Raphaël LaurentJean-Luc SchwartzPierre BessièreJulien Diard. COSMO, un modèle bayésien de la communication parlée : application à la perception des syllabes
JEP-TALN-RECITAL 2012 - conférence conjointe 29e Journées d'Études sur la Parole, 19e Traitement Automatique des Langues Naturelles, 14e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, Jun 2012, Grenoble, France. pp.305-312
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hal-00338786v1  Conference papers
Clément Moulin-FrierJean-Luc SchwartzJulien DiardPierre Bessière. Emergence of a language through deictic games within a society of sensori-motor agents in interaction
ISSP 2008 - 8th International Seminar on Speech Production, Dec 2008, Strasbourg, France
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inria-00189723v2  Journal articles
Olivier LebeltelPierre BessièreJulien DiardEmmanuel Mazer. Bayesian Robot Programming
Autonomous Robots, Springer Verlag, 2004, 16 (1), pp.49--79. ⟨10.1023/B:AURO.0000008671.38949.43⟩
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hal-01082517v1  Conference papers
Marie-Lou BarnaudNicolas MorgadoRichard Palluel-GermainJulien DiardAnne Spalanzani. Proxemics models for human-aware navigation in robotics: Grounding interaction and personal space models in experimental data from psychology
Proceedings of the 3rd IROS’2014 workshop “Assistance and Service Robotics in a Human Environment”, Sep 2014, Chicago, United States
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hal-00530380v1  Conference papers
Eva SimoninJulien Diard. BBPRM: a behavior-based probabilistic roadmap method
IEEE International Conference on Systems, Man and Cybernetics, 2008, 2008, Singapore. pp.1719-1724
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hal-00331586v1  Conference papers
Estelle GiletJulien DiardPierre Bessière. Bayesian modelling of sensorimotor systems: Application to handwriting
Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France
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hal-00961125v1  Book sections
Clément Moulin-FrierJean-Luc SchwartzJulien DiardPierre Bessière. Emergence of articulatory-acoustic systems from deictic interaction games in a "vocalize to localize" framework
Anne Vilain and Jean-Luc Schwartz and Christian Abry and Jacques Vauclair. Primate communication and human language: Vocalisations, gestures, imitation and deixis in humans and non-humans, John Benjamins Pub. Co., pp.193-220, 2011, Advances in Interaction Studies
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hal-00827885v1  Conference papers
Raphaël LaurentJean-Luc SchwartzPierre BessièreJulien Diard. A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables
Interspeech 2013 - 14th Annual Conference of the International Speech Communication Association, Aug 2013, Lyon, France. pp.2797-2801
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hal-01345697v1  Journal articles
Pierre BessièreJulien DiardFrancis Colas. Modèles probabilistes formels pour problèmes cognitifs usuels
Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), Association pour la Recherche sur la Cognition, 2016, Nouvelles approches en robotique cognitive, 65 (1), pp.111-141. ⟨10.3406/intel.2016.1792⟩
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hal-01059197v1  Book sections
Julien DiardPierre Bessière. Bayesian Maps: probabilistic and hierarchical models for mobile robot navigation
Bessière, Pierre and Laugier, Christian and Siegwart, Roland. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, Springer-Verlag, pp.153--175, 2008, Springer Tracts in Advanced Robotics
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inria-00182061v1  Conference papers
Julien DiardPierre BessièreEmmanuel Mazer. Hierarchies of probabilistic models of navigation: the Bayesian Map and the Abstraction operator
Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France
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inria-00182055v1  Book sections
David BellotRoland SiegwartPierre BessièreAdriana TapusChristophe Coué et al.  Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples
Springer-Verlag. Embodied Artificial Intelligence Int. Seminar, 3139, Springer-Verlag, pp.186--201, 2004
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inria-00182076v1  Conference papers
Julien DiardPierre BessièreEmmanuel Mazer. Combining probabilistic models of space for mobile robots: the Bayesian Map and the Superposition operator
Proc. of the Int. Advanced Robotics Programme, Oct 2003, Madrid (ES), France. pp.65--72
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inria-00182051v1  Conference papers
Julien DiardPierre BessièreEmmanuel Mazer. A theoretical comparison of probabilistic and biomimetic models of mobile robot navigation
Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France
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tel-00004369v1  Theses
Julien Diard. La carte bayésienne : un modèle probabiliste hiérarchique pour la navigation en robotique mobile
Interface homme-machine [cs.HC]. Institut National Polytechnique de Grenoble - INPG, 2003. Français
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inria-00182040v1  Conference papers
Eva SimoninJulien DiardPierre Bessière. Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors
Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2005, Edmonton, Canada. pp.1226--1231
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inria-00182041v1  Conference papers
Julien DiardPierre BessièreEmmanuel Mazer. Merging probabilistic models of navigation: the Bayesian Map and the Superposition operator
Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2005, Edmonton, Canada. pp.668--673
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inria-00182069v1  Journal articles
Olivier LebeltelPierre BessièreJulien DiardEmmanuel Mazer. Programmation bayésienne des robots
Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2004, 18, 18 (2), pp.261--298