A Method of the Skill Acquisition of Virtual Mobile Robot Based on Gaze Controlling Knowledge

• Ohno Hiroshi

  Toyota Central Research & Development Labs., Inc

• Furuhashi Takeshi

  Nagoya University

Bibliographic Information

Other Title

• 注視点制御知識による仮想的な移動ロボットの行動獲得手法
• チュウシテン セイギョ チシキ ニ ヨル カソウテキ ナ イドウ ロボット ノ コウドウ カクトク シュホウ

Abstract

This paper presents an efficient method for acquisition of generalized action-decision knowledge based on gaze control for virtual mobile robot. The relationships between actions and gaze control are acquired by genetic algorithm in the form of if-then rules. The extracted generalized knowledge from the acquired rules accelerate acquisition of new action-decision rules under unknown environment. The virtual mobile robot equipped with range sensors traveling from a start point to goal area is simulated. The extracted generalized knowledge from rules under some environments operated well to accelerate the learning of robot under unknown environment. The result can be interpreted as skill transition under various environments realized by means of generalization of acquired knowledge.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 119 (2), 157-163, 1999

  The Institute of Electrical Engineers of Japan

Keywords

• スキル獲得
• 移動ロボット
• 遺伝的アルゴリズム
• 一般化知識

Details

• CRID: 1390001204611455232
• NII Article ID: 130006845966
• NII Article ID: 10002816097
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss1987.119.2_157
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 4643566
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4643566
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss1987/119/2/119_2_157/_pdf
• Data Source:
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  • CiNii Articles
• Abstract License Flag: Disallowed