Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots
August 27, 2017 Β· Declared Dead Β· π IEEE/RJS International Conference on Intelligent RObots and Systems
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Authors
Lee-Huang Chen, Brian Cera, Edward L. Zhu, Riley Edmunds, Franklin Rice, Antonia Bronars, Ellande Tang, Saunon R. Malekshahi, Osvaldo Romero, Adrian K. Agogino, Alice M. Agogino
arXiv ID
1708.08150
Category
cs.RO: Robotics
Citations
35
Venue
IEEE/RJS International Conference on Intelligent RObots and Systems
Last Checked
4 months ago
Abstract
This paper presents a new teleoperated spherical tensegrity robot capable of performing locomotion on steep inclined surfaces. With a novel control scheme centered around the simultaneous actuation of multiple cables, the robot demonstrates robust climbing on inclined surfaces in hardware experiments and speeds significantly faster than previous spherical tensegrity models. This robot is an improvement over other iterations in the TT-series and the first tensegrity to achieve reliable locomotion on inclined surfaces of up to 24\degree. We analyze locomotion in simulation and hardware under single and multi-cable actuation, and introduce two novel multi-cable actuation policies, suited for steep incline climbing and speed, respectively. We propose compelling justifications for the increased dynamic ability of the robot and motivate development of optimization algorithms able to take advantage of the robot's increased control authority.
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