Control of a quadruped walking robot based on biologically inspired approach

  • Ig Mo Koo
  • , Tran Duc Trong
  • , Tae Hun Kang
  • , Gia Loc Vo
  • , Young Kuk Song
  • , Chang Min Lee
  • , Hyouk Ryeol Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

In this paper, a new biomimetic control method for a quadruped walking robot is proposed. The method is derived by the observation of the gravity load receptor and stimulus-reaction mechanism of quadrupeds' locomotion, and the study of the stances on walking and energy efficiency. Though the controller is simple, it provides a useful framework for controlling a quadruped walking robot. In particular, by introducing a new rhythmic pattern generator the heavy computational burden to be paid on solving kinematics is relieved. The effectiveness of the proposed method is validated via a dynamic simulation and experimental works in a quadruped walking robot, called AiDIN(Artificial Digitigrade for Natural Environment).

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007
Pages2969-2974
Number of pages6
DOIs
StatePublished - 2007
Event2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007 - San Diego, CA, United States
Duration: 29 Oct 20072 Nov 2007

Publication series

NameIEEE International Conference on Intelligent Robots and Systems

Conference

Conference2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007
Country/TerritoryUnited States
CitySan Diego, CA
Period29/10/072/11/07

Bibliographical note

Funding Information:
★ This research was supported in part by the project of the dual-use technology for military and civilian missions(”Development of Quadruped Robots”) of the Ministry of Commerce, Industry and Energy (MOCIE), KOREA.

Fingerprint

Dive into the research topics of 'Control of a quadruped walking robot based on biologically inspired approach'. Together they form a unique fingerprint.

Cite this