Paper:
Language: English:

Acquisition of Behavioral Patterns Depends on Self-Embodiment Based on Robot Learning Under Multiple Instructors

Masato Kotake^*,**, Daisuke Katagami^, and Katsumi Nitta^

^*Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8503, Japan
^**Daikin Industries, Ltd.
1304 Kanaokacho, Kitaku, Sakaishi, Osaka

Received: March 22, 2007

Accepted: August 6, 2007

Keywords: robot learning, embodiment, teaching by demonstration

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.8 pp. 989-997, 2007

Abstract

We focus on robotic learning under multiple instructors. Even when their goal is the same, different instructors inevitably was different approaches. We propose incorporating DP matching and clustering, classifying the teaching demonstrations of instructors into groups of similar ones. Experiments in which an AIBO robot was taught to walk forward demonstrated that our proposal acquired appropriate teaching approaches based on AIBO's different embodiments and maximizing task accomplishment.

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