An Ontology-based approach for Robot and Ambient System collaboration

Emmanuel Dumont 1 Dan Istrate 2 Mohamed Chetouani 3
1 CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux
2 LIA - Laboratoire Informatique d'Avignon
3 ISIR - Institut des Systèmes Intelligents et de Robotique
Abstract : In activity recognition, sensor based errors or uncertainties induce a wrong statement in the environment representation. To overcome these issues we introduce our ontology-based approach where a system, based on a mobile robot and an ambient system, is able to generate collaborative tasks when necessary to recognize activities. Using two ontolo-gies to represent the environment, inconsistencies are detected and high level data are exchanged between both systems to correct and clarify ambiguous description of the environment. This process allows to generate adequate clarifying tasks by explicitly including knowledge and capabilities of each system. We expose our approach in two experiments where interaction between both systems are mandatory to respond a human "find an object" request in a first scenario and recognize multi user activities in a second scenario.
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https://hal.sorbonne-universite.fr/hal-02422943
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Submitted on : Monday, December 23, 2019 - 2:30:10 PM
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Emmanuel Dumont, Dan Istrate, Mohamed Chetouani. An Ontology-based approach for Robot and Ambient System collaboration. Towards Intelligent Social Robots: Social Cognitive Systems in Smart Environments, in conjunction with the 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) – Lisbon – Portugal, Aug 2017, Lisbon, Portugal. ⟨hal-02422943⟩

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