Artificial Life and Robotics

, Volume 5, Issue 3, pp 152–158 | Cite as

Decentralized autonomous control of a quadrupedal locomotion robot using oscillators

Original Article

Abstract

This article deals with the design of a control system for a quadrupedal locomotion robot. The proposed control system is composed of a leg motion controller and a gait pattern controller within a hierarchical architecture. The leg controller drives actuators at the joints of the legs using a high-gain local feedback control. It receives the command signal from the gait pattern controller. The gait pattern controller, on the other hand, involves nonlinear oscillators. These oscillators interact with each other through signals from the touch sensors located at the tips of the legs. Various gait patterns emerge through the mutual entrainment of these oscillators. As a result, the system walks stably in a wide velocity range by changing its gait patterns and limiting the increase in energy consumption of the actuators. The performance of the proposed control system is verified by numerical simulations.

Key words

Quadrupedal locomotion robot Oscillators Decentralized autonomous control 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Mita T, Ikeda T (1999) Proposal of a variable constraint control for SMS with application to a running quadruped. Proceedings of the 1999 IEEE International Conference on Systems, Man and Cybernetics, vol III, p 140–145Google Scholar
  2. 2.
    Coleman MJ, Garcia M, Ruina AL, et al. (1997) Stability and chaos in passive-dynamic locomotion. Solid Mech Appl 63:407–416Google Scholar
  3. 3.
    Nelson GM, Quinn RD, Bachmann RJ, et al. (1997) Design and simulation of a cockroach-like hexapod robot, Proceedings of the 1997 IEEE International Conference on Robotics and Automation, vol 2, p 1106–1111Google Scholar
  4. 4.
    Nelson GM, Quinn RD (1998) Posture control of a cockroach-like robot. Proceedings of the 1998 IEEE International Conference on Robotics and Automation, vol 1, p 157–162Google Scholar
  5. 5.
    Brooks RA (1985) A robust layered control system for a mobile robot, IEEE J Robotics Autom 2:14–23Google Scholar
  6. 6.
    Brooks RA (1989) A robot that walks: emergent behavior from a carefully evolved network. Neural Comput 1:253–262Google Scholar
  7. 7.
    Akimoto K, Watanabe S, Yano M (1999) An insect robot controlled by the the emergence of gait patterns, Proceedings of the International Symposium on Artificial Life and Robotics, 3:102–105CrossRefGoogle Scholar
  8. 8.
    Kimura H, Sakaura K, Akiyama S (1998) Dynamic walking and running of a quadruped using a neural oscillator, Proceedings IROS’98, vol 1, p 50–57Google Scholar
  9. 9.
    Cruse H, Bartling C, Dean J, et al. (1996) Coordination in a six-legged walking system. Simple solutions to complex problems by exploitation of physical properties. From animals to animats, vol 4. MIT Press, Cambridge, p 84–93Google Scholar
  10. 10.
    Kelso JAS (1995) Dynamic patterns: the self-organization of brain behavior, MIT Press, BostonGoogle Scholar
  11. 11.
    Tsuchiya K, Tsujita K (1999) A principle of design of an autonomous mobile robot. Proceedings of the 4th International Symposium on Artificial Life and Robotics, vol 1 p 320–323Google Scholar
  12. 12.
    Tsujita K, Onat A, Tsuchiya K, et al. (2000) Autonomous decentralized control of a quadruped locomotion robot using oscillators. Proceedings of the 5th International Symposium on Artificial Life and Robotics, vol 2, p 703–710Google Scholar

Copyright information

© ISAROB 2001

Authors and Affiliations

  • Katsuyoshi Tsujita
    • 1
  • Kazuo Tsuchiya
    • 1
  • Ahmet Onat
    • 1
  1. 1.Department of Aeronautics and AstronauticsGraduate School of Engineering, Kyoto UniversityKyotoJapan

Personalised recommendations