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

10 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
ISBN(電子版)9781538626825
DOI
出版ステータスPublished - 2017 12月 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月 242017 9月 28

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems
2017-September
ISSN(印刷版)2153-0858
ISSN(電子版)2153-0866

Other

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

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

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