A Distributed User-Centered Approach For Control in Ambient Robotic
| Autor: | Verstaevel, Nicolas, Régis, Christine, Gleizes, Marie-Pierre, Robert, Fabrice |
|---|---|
| Přispěvatelé: | Sogeti High Tech, Systèmes Multi-Agents Coopératifs (IRIT-SMAC), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Distributed Architecture
Internet of Things Innovative Architecture Smart Devices [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Control System Machine Learning [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] Human System Interactions [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY] [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] Adaptive Multi-Agent Systems [INFO.INFO-ES]Computer Science [cs]/Embedded Systems |
| Zdroj: | 8th European Congress on Embedded Real Time Software and Systems (ERTS 2016) 8th European Congress on Embedded Real Time Software and Systems (ERTS 2016), Jan 2016, Toulouse, France |
| Popis: | International audience; Designing a controller to supervise an ambient application is a complex task. Any change in the system composition or end-users needs involves re-performing the whole design process. Giving to each device the ability to self-adapt to both end-users and system dynamic is then an interesting challenge. This article contributes to this challenge by proposing an approach named Extreme Sensitive Robotic where the design is not guided by finality but by the functionalities provided. One functionality is then seen as an autonomous system, which can self-adapt to what it perceives from its environment (including human activity). We present ALEX, the first system built upon the Extreme Sensitive paradigm, a multi-agent system that learns to control one functionality in interaction with its environment from demonstrations performed by an end-user. We study through an evolutive experimentation how the combination of Extreme Sensitive Robotic paradigm and ALEX eases the maintenance and evolution of ambient systems. New sensors and effectors can be dynamically integrated in the system without requiring any action on the pre-existing components. |
| Databáze: | OpenAIRE |
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