A four-limbed disaster-response robot having high mobility capabilities in extreme environments

Kenji Hashimoto, Takashi Matsuzawa, Tomotaka Teramachi, Kazuhito Uryu, Xiao Sun, Shinya Hamamoto, Ayanori Koizumi, Atsuo Takanishi

    研究成果: Conference contribution

    5 被引用数 (Scopus)

    抄録

    This paper describes a novel four-limbed robot having high mobility capability in extreme environments. At disaster sites, there are various types of environments where a robot must move such as rough terrain with possibility of collapse, narrow places, stairs, vertical ladders and so forth. In this paper, first we categorized extreme environments based on three indexes: unevenness, narrowness, and inclination. To move in such extreme environments, we proposed a four-limbed robot having various locomotion styles such as bipedal/quadrupedal walking, crawling and ladder climbing. The main contribution of this paper is the concept and hardware design of the four-limbed robot. We developed a prototype of the four-limbed robot having commonly structured limbs. The number of DoF for the whole body is 29, with 7-DoFs in each limb and 1-DoF in the trunk. The robot weight is 110 kg, and the height is 1,290 mm when standing on two legs. The end-effector has hook-like shape. Verification of the prototype robot is conducted through simulations and experiments.

    本文言語English
    ホスト出版物のタイトルIROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ5398-5405
    ページ数8
    2017-September
    ISBN(電子版)9781538626825
    DOI
    出版ステータスPublished - 2017 12 13
    イベント2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada
    継続期間: 2017 9 242017 9 28

    Other

    Other2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
    CountryCanada
    CityVancouver
    Period17/9/2417/9/28

    ASJC Scopus subject areas

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

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