Physical Sciences and Mathematics Commons^™

Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotics, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert

SMART Infrastructure Facility - Papers

Ambient systems are populated by many heterogeneous devices to provide adequate services to their users. The adaptation of an ambient system to the specific needs of its users is a challenging task. Because human-system interaction has to be as natural as possible, we propose an approach based on Learning from Demonstration (LfD). LfD is an interesting approach to generalize what has been observed during the demonstration to similar situations. However, using LfD in ambient systems needs adaptivity of the learning technique. We present ALEX, a multi-agent system able to dynamically learn and reuse contexts from demonstrations performed by a tutor. …