Design of biped walking robots having antagonistic driven joints using nonlinear spring mechanism

J. Yamaguchi*, A. Takanishi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

The authors are engaged in studies of biped walking robots from the following two viewpoints. One is a viewpoint as a human science. The other is a viewpoint towards the development of humanoid robots. In the current research concerning a biped walking robot, there is no developed example of a life-size biped walking robot with the antagonistically driven joints by which the human musculo-skeletal system is imitated in lower limbs. Humans are considered to exhibit walking behavior, both efficient and capable of flexibly coping with contact with the outside environment. However, developed biped walking robots can not realize the human walking. Humans can vary the joint stiffness, using nonlinear spring characteristics possessed by the muscle themselves. The function is an indispensable function for a bipedal humanoid. Therefore, the authors designed and built a biped walking robot and a bipedal humanoid having antagonistic driven joints. In this paper, the authors introduce the design method of the biped walking robot. The authors performed walking experiments with the biped walking robot and the bipedal humanoid. As a result, quasi-dynamic biped walking, dynamic walking, dynamic dancing with dance music and carry with dynamic walking using antagonist driven joint were realized.

Original languageEnglish
Pages251-259
Number of pages9
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Part 1 (of 3) - Grenoble, Fr
Duration: 1997 Sept 71997 Sept 11

Other

OtherProceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Part 1 (of 3)
CityGrenoble, Fr
Period97/9/797/9/11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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