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Perceptual-Motor Sequence Learning via Human-Robot Interaction

Fecha:
2006
Tipo:
Memoria Congreso
Titulo:
Perceptual-Motor Sequence Learning via Human-Robot Interaction
Autores:
DOMINEY Peter Ford. BOUCHER Jean David.
Proyecto:
País:
FRANCIA
Congreso:
6th IEEE-RAS International Conference on Humanoid Robots
Páginas:
222-227 Pp.
Editorial:
IEEE Computer Society Press
ISBN:
1-4244-0200-X
Enlace:
Ver Detalles
Descripción:
The current research presents an original model allowing a machine to acquire new behaviors via its cooperative interaction with a human user. One of specificities of this system is to place the interaction at the heart of the learning. Thus, as one proceeds with exchanges, the robot improves its behaviors favoring a smoother and more natural interaction. Two experiments demonstrate the robustness of this approach in learning composite perceptual-motor behavioral sequences of varying complexity