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Autonomous Robots

, Volume 12, Issue 1, pp 71–82 | Cite as

A Fast Dynamically Equilibrated Walking Trajectory Generation Method of Humanoid Robot

  • Satoshi Kagami
  • Tomonobu Kitagawa
  • Koichi Nishiwaki
  • Tomomichi Sugihara
  • Masayuki Inaba
  • Hirochika Inoue
Article

Abstract

This paper describes a fast dynamically equilibrated trajectory generation method for a humanoid robot. From a given input motion and the desired ZMP trajectory, the algorithm generates a dynamically equilibrated trajectory using the relationship between the robot's center of gravity and the ZMP. Three key issues are denoted: 1) an enhanced ZMP constraint which enables the calculation of robot stability even if several limbs are contacting the environment, 2) a simplified robot model is introduced that represents the relationship between its center of gravity and ZMP, 3) a convergence method is adopted to eliminate approximation errors arising from the simplified model. Combining these three key issues together with online ZMP compensation method, humanoid robot H5 have succeeded to walk, step down and so on. Experimental results using humanoid robot H5 are described.

bipedal walking dynamically equilibrated walking trajectory humanoid robots 

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References

  1. Hirai, K. 1997. Current and future perspective of Honda humanoid robot. In Proc. of 1997 IEEE Intl. Conf. on Intelligent Robots and Systems (IROS'97), pp. 500–508.Google Scholar
  2. Honda. Co. Ltd. 1993a. Walking Control System for Legged Robot. Japan Patent Office (A) 5–305583.Google Scholar
  3. Honda. Co. Ltd. 1993b. Walking Control System for Legged Robot. Japan Patent Office (A) 5–200682.Google Scholar
  4. Honda. Co. Ltd. 1998. Walking Pattern Generation System for Legged Robot. Japan Patent Office (A) 10–86080.Google Scholar
  5. Kagami, S., Kanehiro, F., Tamiya, Y., Inaba, M., and Inoue, H. 2000. AutoBalancer: An online dynamic balance compensation scheme for humanoid robots. In Proc. of Fourth Intl. Workshop on Algorithmic Foundations on Robotics (WAFR'00), pp. SA-79-SA-89.Google Scholar
  6. Kajita, S. and Tani, K. 1996. Experimental study of biped dynamic walking. IEEE Control Systems, 16p(1):13–19.Google Scholar
  7. Luh, J.Y.S., Walker, M.W., and Paul, R.P.C. 1980. On-line computational scheme for mechanical manipulators. ASME Journal of Dynamic Systems, Measurement, Control, 102:69–76.Google Scholar
  8. Nagasaka, K., Inaba, M., and Inoue, H. 1998. Research on humanbased genetic motion acquisition for humanoid. In Proc. of the 16th Annual Conf. of Robotics Society of Japan, pp. 827–828.Google Scholar
  9. Nagasaka, K., Inaba, M., and Inoue, H. 1999a. Stabilization of dynamic walk on a humanoid using torso position compliance control. In Proceedings of 17th Annual Conference on Robotics Society of Japan, pp. 1193–1194.Google Scholar
  10. Nagasaka, K., Inaba, M., and Inoue, H. 1999b.Walking pattern generation for a humanoid robot based on optimal gradient method. In Proc. of 1999 IEEE Int. Conf. on Systems, Man, and Cybernetics No. VI.Google Scholar
  11. Pratt, J., Delworth, P., and Pratt, G. 1997. Virtual model control of a bipedal walking robot. In Proc. of IEEE Int. Conf. Robotics and Automation, pp. 193–198.Google Scholar
  12. Sugihara, T., Nishiwaki, K., Inaba, M., and Inoue, H. 2000. Development of "Z-DYNAFORM"—Library for dynamics analysis of rigid multibody. In Proceedings of 18th Annual Conference on Robotics Society of Japan.Google Scholar
  13. Vukobratovi?, M., Borovac, B., Surla, D., and Stoki?, D. 1990. Biped Locomotion—Dynamics, Stability, Control and Application, Springer-Verlag: Berlin.Google Scholar
  14. Walker, M.W. and Orin, D.E. 1982. Efficient dynamic computer simulation of robotic mechanisms. ASME Journal of Dynamic Systems, Measurement, Control 104:205–211.Google Scholar
  15. Yamaguchi, J., Takanishi, A., and Kato, I. 1993. Development of a bipedwalking robot compensating for three-axis moment by trunk motion. Journal of the Robotics Society of Japan, 11(4):581–586.Google Scholar
  16. Yamane, K. and Nakamura, Y. 2000. Dynamics filter—concept and implementation of on-line motion generator for human figures. In Proc. of IEEE Int. Conf. on Robotics andAutomation, pp. 688–694.Google Scholar

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Satoshi Kagami
    • 1
  • Tomonobu Kitagawa
    • 2
  • Koichi Nishiwaki
    • 2
  • Tomomichi Sugihara
    • 2
  • Masayuki Inaba
    • 2
  • Hirochika Inoue
    • 2
  1. 1.Digital Human LaboratoryAdvanced Industrial Science and TechnologyKoto-ku, TokyoJapan
  2. 2.Department of Mechano-InformaticsThe University of TokyoBunkyo-ku, TokyoJapan

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