Title: Path planning method of industrial intelligent welding robot based on cuckoo search algorithm

Authors: Shuangling Wang; Huige Chen

Addresses: Smart Manufacturing College, Zhengzhou University of Economics and Business, Zhengzhou, 451191, China ' Faculty of Engineering, Huanghe Science and Technology University, Zhengzhou, 450063, China

Abstract: In order to overcome the problems of large time cost and low planning accuracy of traditional path planning methods, a path planning method of industrial intelligent welding robot based on cuckoo search algorithm is designed. Firstly, the coordinate system of industrial intelligent welding robot motion and the kinematic model of industrial intelligent welding robot are constructed by using D-H parameter method. Then, the non-collinear points are set in the running space of the welding robot, the running radius of the welding robot is calculated according to the determined centre of the circle, and the obstacle location is completed. Finally, the limited conditions of welding path planning of welding robot are set, and the cuckoo search algorithm is used to optimise the optimal welding path of robot. The experimental results show that the proposed method can effectively improve the efficiency and accuracy of path planning of industrial intelligent welding robot.

Keywords: cuckoo search algorithm; industrial intelligent welding robot; route planning; D-H parameter method.

DOI: 10.1504/IJMTM.2024.137382

International Journal of Manufacturing Technology and Management, 2024 Vol.38 No.1, pp.1 - 13

Received: 09 Apr 2022
Received in revised form: 02 Jun 2022
Accepted: 11 Aug 2022
Published online: 15 Mar 2024 *