Title :
Human-Robot Interactions as a Cognitive Catalyst for the Learning of Behavioral Attractors
Author :
Giovannangeli, C. ; Gaussier, P.
Abstract :
We address in this paper the problem of the autonomous online learning of a sensory-motor task, demonstrated by an operator guiding the robot. For the last decade, we have developed a vision-based architecture for mobile robot navigation. Our bio-inspired model of the navigation has already proved to achieve sensory-motor tasks in real time both in unknown indoor and outdoor environments. We propose to bootstrap the underlying PerAc architecture in order to control the sensory-motor learning. The interaction leads the robot to autonomously build a precise sensory-motor dynamic approximating the behavior of the teacher. A real dialog based on actions imposed by the teacher and those proposed by the robot emerges, which catalyzes the learning of the robot. The architecture is finally tested in real indoor and outdoor environments.
Keywords :
cognitive systems; computer aided instruction; humanoid robots; man-machine systems; mobile robots; navigation; robot vision; PerAc architecture; autonomous online learning; behavioral attractor; bioinspired model; cognitive catalyst; human-robot interaction; mobile robot navigation; sensory-motor task; vision-based architecture; Cognition; Cognitive robotics; Collaboration; Educational robots; Human robot interaction; Laboratories; Mobile robots; Navigation; Orbital robotics; Robot sensing systems;
Conference_Titel :
Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on
Conference_Location :
Jeju
Print_ISBN :
978-1-4244-1634-9
Electronic_ISBN :
978-1-4244-1635-6
DOI :
10.1109/ROMAN.2007.4415233