Abstract
Climbing robots have many potential applications including maintenance, monitoring, search and rescue, and self-assembly. While numerous climbing designs have been investigated, most are limited to stiff components. Flippy (Fig. 1) is a small, flipping biped robot with a soft, flexible body and on-board power and control. Due to its built-in compliance, flipping gait, and corkscrew gripper, it can autonomously climb up and down surfaces held at any angle relative to gravity and transition from one surface to another, without complex sensing or control. In this paper, we demonstrate the robot's ability to flip consistently over a flat Velcro surface and 2D Velcro track, where it reliably climbs vertically, upside down and back to a flat surface, completing all the interior transitions in-between.
Original language | English (US) |
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Title of host publication | IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 6533-6540 |
Number of pages | 8 |
ISBN (Electronic) | 9781538626825 |
DOIs | |
State | Published - Dec 13 2017 |
Event | 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada Duration: Sep 24 2017 → Sep 28 2017 |
Publication series
Name | IEEE International Conference on Intelligent Robots and Systems |
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Volume | 2017-September |
ISSN (Print) | 2153-0858 |
ISSN (Electronic) | 2153-0866 |
Other
Other | 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 |
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Country/Territory | Canada |
City | Vancouver |
Period | 9/24/17 → 9/28/17 |
Funding
*This work was supported and funded by the Wyss Institute 1School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University [email protected] 2Electrical Engineering and Computer Science Department, Mechanical Engineering Department, McCormick School of Engineering, Northwestern University [email protected]
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications