Biologically inspired control of quadruped walking robot

Ig Mo Koo, Tae Hun Kang, Gia Loc Vo, Tran Due Trong, Young Kuk Song, Hyouk Ryeol Choi

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

In this paper, we present a control method for a quadruped walking robot inspired from the locomotion of quadrupeds. A simple and useful framework for controlling a quadruped walking robot is presented, which is obtained by observing the stimulus-reaction mechanism, the gravity load receptor and the manner of generating repetitive motions from quadrupeds. In addition, we propose a new rhythmic pattern generator that can relieve the large computational burden on solving the kinematics. The proposed method is tested via a dynamic simulation and validated by implementation in a quadruped walking robot, called AiDIN-I (Artificial Digitigrade for Natural Environment I).

Original languageEnglish
Pages (from-to)577-584
Number of pages8
JournalInternational Journal of Control, Automation and Systems
Volume7
Issue number4
DOIs
StatePublished - Aug 2009

Bibliographical note

Funding Information:
Manuscript received January 23, 2008; revised August 16, 2008; accepted December 15, 2008. Recommended by Editorial Board member Sangdeok Park under the direction of Editor Jae-Bok Song. This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD) (KRF-2005-D00031).

Keywords

  • Biomimetic
  • Gravity load controller
  • Quadruped walking robot

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