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Research on obstacle avoidance gait planning of quadruped crawling robot based on slope terrain recognition

Peng Wang (College of Mechanical and Electrical Engineering, Huzhou Vocational and Technical College, Huzhou, China and School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, China)
Chunxiao Song (Hangzhou Chang Chuan Technology Co., Ltd., Hangzhou, China and School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, China)
Renquan Dong (School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, China)
Peng Zhang (School of Automation, Harbin University of Science and Technology, Harbin, China)
Shuang Yu (School of Automation, Harbin University of Science and Technology, Harbin, China)
Hao Zhang (School of Automation, Harbin University of Science and Technology, Harbin, China)

Industrial Robot

ISSN: 0143-991X

Article publication date: 6 April 2022

Issue publication date: 30 June 2022

223

Abstract

Purpose

Aiming at the problem that quadruped crawling robot is easy to collide and overturn when facing obstacles and bulges in the process of complex slope movement, this paper aims to propose an obstacle avoidance gait planning of quadruped crawling robot based on slope terrain recognition.

Design/methodology/approach

First, considering the problem of low uniformity of feature points in terrain recognition images under complex slopes, which leads to too long feature point extraction time, an improved ORB (Oriented FAST and Rotated BRIEF) feature point extraction method is proposed; second, when the robot avoids obstacles or climbs over bumps, aiming at the problem that the robustness of a single step cannot satisfy the above two motions at the same time, the crawling gait is planned according to the complex slope terrain, and a robot obstacle avoidance gait planning based on the artificial potential field method is proposed. Finally, the slope walking experiment is carried out in the Robot Operating System.

Findings

The proposed method provides a solution for the efficient walking of robot under slope. The experimental results show that the extraction time of the improved ORB extraction algorithm is 12.61% less than the original ORB extraction algorithm. The vibration amplitude of the robot’s centroid motion curve is significantly reduced, and the contact force is reduced by 7.76%. The time it takes for the foot contact force to stabilize has been shortened by 0.25 s. This fact is verified by simulation and test.

Originality/value

The method proposed in this paper uses the improved feature point recognition algorithm and obstacle avoidance gait planning to realize the efficient walking of quadruped crawling robot on the slope. The walking stability of quadruped crawling robot is tested by prototype.

Keywords

Acknowledgements

Funding statement: Natural Science Foundation of Heilongjiang Province of China (No. E2017049) and Intelligent robot project of chick Eagle program of Harbin of China (No. 2020CYJBCG0124) and General Scientific Research Project of Zhejiang Education Department (No.Y202145975).

Conflicts of interest: The authors declare that there are no conflicts of interest regarding the publication of this paper.

Citation

Wang, P., Song, C., Dong, R., Zhang, P., Yu, S. and Zhang, H. (2022), "Research on obstacle avoidance gait planning of quadruped crawling robot based on slope terrain recognition", Industrial Robot, Vol. 49 No. 5, pp. 1008-1021. https://doi.org/10.1108/IR-11-2021-0273

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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