ANALYSIS OF JOINT FAILURES ON THE LATERAL UNDULATION GAIT OF A ROBOTIC SNAKE

Author:

Irani Rishad1,Bauer Robert2,North Lydia2,Nicholson Michael2,Nolan David2,West Brennan2

Affiliation:

1. Rolls-Royce Canada Limited Naval Marine, Dartmouth, Nova Scotia, Canada

2. Department of Mechanical Engineering, Dalhousie University, Nova Scotia, Halifax, Canada

Abstract

This paper describes the development of a biologically-inspired hyper-redundant wheeled snake robot and a corresponding computer simulator to study the effects that joint failures have on the resulting lateral undulation motion. Experiments and corresponding simulations were carried out to study the robotic snake’s lateral undulation gait as power to individual joints was turned off. The results showed that joint failures were most detrimental to the snake’s lateral undulation gait when they occurred in the front half of the snake, while joint failures occurring between the midpoint and tail of the robotic snake were found to be less critical and generally resulted in slight lateral drifts as the forward motion progressed. To help compensate for joint failures in the tail-half part of the robot, a bias term was added to the control algorithm. For the conditions tested in this research, the use of a bias term appeared to be effective at reducing the lateral drift.

Publisher

Canadian Science Publishing

Subject

Mechanical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Path-following Control of a Snake Robot With Multiple Passive Joints;International Journal of Control, Automation and Systems;2024-08

2. Joint failure recovery for snake robot locomotion using a shape-based approach;Artificial Life and Robotics;2022-02-19

3. Reference-Point Algorithms for Active Motion Compensation of Towed Bodies;IEEE Journal of Oceanic Engineering;2019-10

4. Bio-Inspired Snake Robots;Handbook of Research on Biomimetics and Biomedical Robotics;2018

5. Controller design and motion compensation for marine towed bodies;OCEANS 2016 MTS/IEEE Monterey;2016-09

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