Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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A study on the generation of balancing trajectory for biped robot using genetic algorithm

유전 알고리즘을 이용한 이족보행로봇의 균형 궤적 생성에 관한 연구

  • Published : 1999.11.01
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Abstract

This paper is concerned with the generation of a balancing trajectory for improving the walking performance. The balancing motion has been determined by solving a second -order differential equation. However, this method caused some difficulties in linearizing and approximating the equation and had restrictions on using various balancing trajectories. The proposed difficulties in linearizing and approximating the equation and had restrictions on using various balancing trajectories. The proposed method i this paper is based on the genetic algorithm for minimizing the motins of balancing joints, whose trajectories are generated by the fifth-order polynomial interpolation after planning leg trajectories. The real walking experiments are made on the biped robot IWR-III, developed by our Automatic Control Laboratory. The system has 8 degrees of freedom and the structure of three pitches in each leg, and one roll and one prismatic joint in the balancing joints. The experimental result shows the validity and applicability of the new proposed algorithm.

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References

  1. ICAR Modular formulation for dynamics of multi-Legged robots W. Chen;S. H. Yeo;K. H. Low
  2. ICAR Kinematic evaluation of robotic biped locomotion systems F. M. Silva;J. A. Tenreiro Machado
  3. ICAR Inverted pendulum-like walking pattern of a 5-link biped robot C.-L Shih
  4. Proc. IROS96 Real-time vision-based control of swing motion by a human-form robot using the remote-brained approach Masayuki INABA;Ken'ichiro NAGASAKA;Fumto KANEHIRO;Satoshi KAGAMI;Hirochika INOUE
  5. Proc. IROS96 A 35 DOF humanoid that can coordinate arms and legs in standing up, reaching and grasping an object Masayuki INABA;Takashi IGARASHI;Satoshi KAGAMI;Hirochika INOUE
  6. Proce. of the 1996 IEEE International Conference on Robotics and Automation Three-dimensional human running J. k. Hodgins
  7. Journal of Robot Society of Japan v.3 no.3 Realization of biped locomotion by motion pattern learning S. Kawamura(et al.)
  8. Robotics Research Can mechanical robot lean by themselves? S. Arimoto;S. Kawamura;F. Miyazaki
  9. IEEE International Conference on Robotics and Automation Analysis of the dynamics of a biped robot with seven degrees of freedom C.-L. Shih
  10. Proced. of the 1995 International Conference on Power Electronics and Drive Systems v.1 Adaptive gait algorithm for IWR biped robot S. H. Lim;J. G. Kim
  11. Robots and Biological Systems : Towards a New Bionics Robot biped walking stabilized with trunk motion A. Takanish
  12. Proc. of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems Learning control of compensative trunk motion for biped walking robot based on ZMP stability criterion. Q. Li;A. Takanishi;I. Kato
  13. Proc. of the 1993 IEEE International Conference on Intelligent Robots and Systems v.1 Development of a biped walking robot compensating for three-Axis moment by trunk motion Yamaguchi;A Takanishi;I. Kato
  14. Procd. of the 1990 IEEE International Conference on Intelligent Robots and Systems Realization of dynamic biped walking stabilized by trunk motion on a sagitally uneven surface A. Takanishi;H. O. Lim;M Tsuda;I. Kato
  15. Procd. of the 1996 IEEE Internation Conference on Robotics and Automation Analysis of the dynamics of a biped robot with seven degree of freedom C.-L. Shih
  16. Genetic Algorithms in Search, Optimization, and Machine Learning D. E Gondberg
  17. Genetic Algorithms+Data Structuers=Evolution Programs(Third Edition.) Z. Michalewicz