Biped walking stabilization based on gait analysis

Kenji Hashimoto, Yuki Takezaki, Hiromitsu Motohashi, Takuya Otani, Tatsuhiro Kishi, Hun Ok Lim, Atsuo Takanishi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    15 Citations (Scopus)

    Abstract

    This paper describes a walking stabilization control based on gait analysis for a biped humanoid robot. We have developed a human-like foot mechanism mimicking the medial longitudinal arch to clarify the function of the foot arch structure. To evaluate the arch function through walking experiments using a robot, a walking stabilization control should also be designed based on gait analysis. Physiologists suggest the ankle, hip and stepping strategies, but these strategies are proposed by measuring human beings who are not "walking" but "standing" against force disturbances. Therefore, first we conducted gait analysis in this study, and we modeled human walking strategy enough to be implemented on humanoid robots. We obtained following two findings from gait analysis: i) a foot-landing point exists on the line joining the stance leg and the projected point of CoM on the ground, and ii) the distance between steps is modified to keep mechanical energy at the landing within a certain value. A walking stabilization control is designed based on the gait analysis. Verification of the proposed control is conducted through experiments with a human-sized humanoid robot WABIAN-2R. The experimental videos are supplemented.

    Original languageEnglish
    Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
    Pages154-159
    Number of pages6
    DOIs
    Publication statusPublished - 2012

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    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Control and Systems Engineering
    • Electrical and Electronic Engineering

    Cite this

    Hashimoto, K., Takezaki, Y., Motohashi, H., Otani, T., Kishi, T., Lim, H. O., & Takanishi, A. (2012). Biped walking stabilization based on gait analysis. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 154-159). [6225253] https://doi.org/10.1109/ICRA.2012.6225253