Online walking pattern generation using FFT for humanoid robots

Kenji Hashimoto, Hideki Kondo, Hun Ok Lim, Atsuo Takanishi

    Research output: Chapter in Book/Report/Conference proceedingChapter

    5 Citations (Scopus)

    Abstract

    An online walking pattern generation is important for a biped humanoid robot to move in dynamic environments. This chapter describes a novel online walking pattern generation using Fast Fourier Transform (FFT). Most previous studies about online walking pattern generation use an inverted pendulum model, which requires other methods to compensate for errors between the model and a real robot. Because our method uses a multi-body robot model, a biped robot can dynamically change its motions online by utilizing only the proposed method. If a robot has external sensors such as a stereo vision system to recognize dynamic environments, the robot can follow a moving target. Verification of the proposed method is conducted through experiments with the human-sized humanoid robots WABIAN-2R and KOBIAN.

    Original languageEnglish
    Title of host publicationMechanisms and Machine Science
    PublisherKluwer Academic Publishers
    Pages417-438
    Number of pages22
    Volume29
    DOIs
    Publication statusPublished - 2015

    Publication series

    NameMechanisms and Machine Science
    Volume29
    ISSN (Print)22110984
    ISSN (Electronic)22110992

    Keywords

    • Biped humanoid robot
    • Fast Fourier transform
    • Walking pattern

    ASJC Scopus subject areas

    • Mechanics of Materials
    • Mechanical Engineering

    Fingerprint Dive into the research topics of 'Online walking pattern generation using FFT for humanoid robots'. Together they form a unique fingerprint.

  • Cite this

    Hashimoto, K., Kondo, H., Lim, H. O., & Takanishi, A. (2015). Online walking pattern generation using FFT for humanoid robots. In Mechanisms and Machine Science (Vol. 29, pp. 417-438). (Mechanisms and Machine Science; Vol. 29). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-319-14705-5_14