Open AccessA Cooperative Path Planning Algorithm for Handling Robot
Author(s) -
Cai Li,
Xiaoling Zhu,
Jingchuan Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1676/1/012187
Subject(s) - motion planning , ant colony optimization algorithms , robot , path (computing) , computer science , algorithm , workspace , any angle path planning , mathematical optimization , constraint (computer aided design) , ant colony , artificial intelligence , engineering , mathematics , mechanical engineering , programming language
Path planning is one of the core research fields of the handling robot, which has the characteristics of complexity and constraint. Ant colony algorithm is a search algorithm developed in recent years, which has good performance and development potential in solving many complex problems. In this paper, ant colony algorithm and workspace modeling are used to determine the optimal path for the global path search algorithm of the handling robot. The results of spatial modeling and software simulation show that the ant colony algorithm has advantages in the path planning of the handling robot. This path planning algorithm can provide the corresponding solutions for the search path problem of the complex robot.