Motion evaluation of a modified multi-link robotic rat

Chang Li, Qing Shi, Kang Li, Mingjie Zou, Hiroyuki Ishii, Atsuo Takanishi, Qiang Huang, Toshio Fukuda

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

The interaction test between a robotic rat and living rat is considered as a possible way to quantitatively characterize the rat sociality. In such robot-rat interactions, the robot should be designed to fully replicate a real rat in terms of morphological and behavioral characteristics. To address this problem, a multi-jointed robot prototype has been modified based on our previous work. We optimally update the forelimb of the robot and redesign the control board to make it more dexterous and increase its behavioral capability. Then, we systematically and kinematically analyze the rotational range of joint variables and the workspace of the robot by using traversal method. To evaluate the motion capability of the modified robot, we propose two quantitative parameters: maximum reachable height (MRH) and minimum bendable distance (MBD). Additionally, we achieve to quantitatively evaluate the behavioral similarity between the robot and rat with the calculated accumulative distance (AD) by using dynamic time warping (DTW). These evaluated methods show high promise to improve the robot-rat interaction to be more similar to rat-rat interaction.

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2397-2402
ページ数6
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

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
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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