A CPG-based decentralized control of a quadruped robot inspired by true slime mold

Takeshi Kano, Koh Nagasawa, Dai Owaki, Atsushi Tero, Akio Ishiguro

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

7 被引用数 (Scopus)

抄録

Despite its appeal, a systematic design of an autonomous decentralized control system is yet to be realized. To bridge this gap, we have so far employed a "back-to-basics" approach inspired by true slime mold, a primitive living creature whose behavior is purely controlled by coupled biochemical oscillators similar to central pattern generators (CPGs). Based on this natural phenomenon, we have successfully developed a design scheme for local sensory feedback control leading to system-wide adaptive behavior. This design scheme is based on a "discrepancy function" that extracts the discrepancies among the mechanical system (i:e:, body), control system (i:e:, brain-nervous system) and the environment. The aim of this study is to intensively investigate the validity of this design scheme by applying it to the control of a quadruped locomotion. Simulation results show that the quadruped robot exhibits remarkably adaptive behavior in response to environmental changes and changes in body properties. Our results shed a new light on design methodologies for CPG-based decentralized control of various types of locomotion.

本文言語英語
ホスト出版物のタイトルIEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings
ページ4928-4933
ページ数6
DOI
出版ステータス出版済み - 12 1 2010
外部発表はい
イベント23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Taipei, 台湾省、中華民国
継続期間: 10 18 201010 22 2010

出版物シリーズ

名前IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings

その他

その他23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010
Country台湾省、中華民国
CityTaipei
Period10/18/1010/22/10

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Systems Engineering

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