1. Contextual Knowledge Representation and Reasoning Models for Autonomous Robots
- Author
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Ayari, N., Chibani, A., Amirat, Yacine, Fried, Georges, SIRIUS, Laboratoire Images, Signaux et Systèmes Intelligents ( LISSI ), Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Amirat, Yacine, Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), and Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)
- Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI] ,[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO] ,[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO] ,[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] ,[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI] ,ComputingMilieux_MISCELLANEOUS ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] - Abstract
International audience; To provide, anywhere and anytime, smart assistive servicesto people, cognitive robots and agents need to be endowedwith advanced spatio-temporal knowledge representation andreasoning capabilities. In this paper, a semantic approach forcloud-assisted robotics integrating entities of the ambient environment is proposed. Its principle consists of advanced contextual knowledge representation and reasoning models basedon the hybridization of metric, topological and semantic information. A scenario dedicated to the cognitive assistance offrail people is implemented and analyzed for validation purposes of the proposed approach.
- Published
- 2017