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IJML 2012 Vol.2(6): 831-834
doi: 10.7763/IJMLC.2012.V2.247

Imitation Control in Biped Robot by Using Controller to Operator

J. H. Lee2 , Yifenf Cui1 , Sugoog Shon2 , Heejung Byun2

  • 1College of Computer Science and Technology of Shandong University of Technology Linyi University of China.
  • 2Department of Information and telecommunication Engineering, Suwon University, Korea.

Abstract

This study describes a robot that can be remotely imitation controlled by an operator wearing a special suit with sensors to facilitate various movements. Remote controlled robot has quite different body structure and control strategy. Traditionally, robot is controlled by preset commands which are calculated from the requirements to keep balance. However, our robot control command is issued by operator instead of robot itself. Balancing imitation control algorithm is designed and implemented to walk without falling down. All the trajectories such as turn, stop, start, walk, etc, are determined by the operator. Finally, experiment result shows that this kind of new control method can be applied on various areas.

Keywords

  • Balance control algorithm
  • biped robot
  • Imitation control
247-K30006

How to Cite

Copied

J. H. Lee, Yifenf Cui, Sugoog Shon, and Heejung Byun, "Imitation Control in Biped Robot by Using Controller to Operator," International Journal of Machine Learning, vol. 2, no. 6, pp. 831-834, 2012. https://doi.org/10.7763/IJMLC.2012.V2.247

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD