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Modélisation et supervision d’applications robotiques interactives destinées au milieu culturel

Abstract : Many approaches to the design of robotic applications have been proposed in recent years. If they are relevant to the problem they solve, most of them are platform or language dependent. To solve this problem, the use of formal models for scenario or activity generation is essential to ensure a high quality experience. In this context, the use of Petri nets or automata is very widespread. Based on this observation, the formal model CIT (Content Interaction Time) \cite{Mondou2018}, dedicated to the development of interactive robotic applications and based on networks of input/output timed automata has been proposed. In this paper, we propose two software platforms, CELTIC (Common Editor for Location Time Interaction and Content) and EDAIN (Execution Driver based on Artificial INtelligence), allowing a simplified and generic modeling of robotic applications and their supervision based on the CIT model. This approach was used to design a serious game with a humanoid robot Nao. This game allows young people to discover in a playful way the exhibition dedicated to ethnography at the Natural History Museum of La Rochelle, France and the exhibition dedicated to archaeology at the Sainte Croix Museum of Poitiers, France. After these experiments, problems of dynamic adaptation of the scenario were identified. We will thus present the beginning of our reflections on the integration of a reinforcement learning algorithm allowing to optimize the parameters controlling the scenario's execution.
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https://hal.archives-ouvertes.fr/hal-03635757
Contributor : Damien Mondou Connect in order to contact the contributor
Submitted on : Friday, April 8, 2022 - 4:36:17 PM
Last modification on : Thursday, May 12, 2022 - 3:38:38 PM
Long-term archiving on: : Saturday, July 9, 2022 - 7:08:24 PM

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Damien Mondou, Armelle Prigent, Arnaud Revel. Modélisation et supervision d’applications robotiques interactives destinées au milieu culturel. Revue Ouverte d'Intelligence Artificielle, Association pour la diffusion de la recherche francophone en intelligence artificielle, 2022, 3 (3-4), pp.311-344. ⟨10.5802/roia.33⟩. ⟨hal-03635757⟩

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