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Self-adaptive rolling motion for snake robots in unstructured environments based on torque control

Authors :
Shihao Ma
Fatao Qin
Shufan Chen
Longchuan Li
Jianming Wang
Zengzeng Wang
Shuai Li
Xuan Xiao
Source :
Biomimetic Intelligence and Robotics, Vol 3, Iss 3, Pp 100117- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Snake robots have great potential for exploring and operating in challenging unstructured environments, such as rubble, caves, and narrow pipelines. However, due to the complexity and unpredictability of unstructured environments, designing a controller that can achieve adaptive motion is crucial. This paper proposes a self-adaptive torque-based rolling controller for snake robots, enabling compliant motion in unstructured environments. First, a controller is designed to modify the torque of each motor by focusing on the different motion states of the rolling gait. Second, an experimental platform is established for snake robots to verify the effectiveness of the controller. Finally, a series of rolling experiments are conducted using the torque-based rolling controller. In conclusion, the self-adaptive torque-based rolling controller enhances snake robot adaptability and mobility.

Details

Language :
English
ISSN :
26673797
Volume :
3
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Biomimetic Intelligence and Robotics
Publication Type :
Academic Journal
Accession number :
edsdoj.274dfe08b39d47ca9e2c726cbc3fccb2
Document Type :
article
Full Text :
https://doi.org/10.1016/j.birob.2023.100117