| Title: | Path planning of mobile robot based on improved ant colony algorithm for logistics |
| Author(s): | Xue T; Li L; Shuang L; Zhiping D; Ming P; |
| Address: | "Logistics School, Beijing Wuzi University, Beijing 101149, China. School of management, Harbin University of Commerce, Harbin 150080, China. School of computer and Information Engineering, Harbin University of Commerce, Harbin 150080, China. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China" |
| ISSN/ISBN: | 1551-0018 (Electronic) 1547-1063 (Linking) |
| Abstract: | "The path planning of robot is of great significance for the logistics industry, which helps to improve the efficiency of warehousing, sorting and distribution. On the basis of ant colony algorithm, multi step search strategy is used instead of single step search strategy, pheromone update mechanism is redesigned, and path smoothing is configured to improve the performance of the algorithm. The experimental results show that the improved ant colony algorithm proposed in this paper can plan a shorter optimal path on the 16 * 16 grid logistics storage site, and the path length is saved by 9.21%" |
| Keywords: | Algorithms Computer Simulation Computer Systems Industry *Robotics logistics multi step search optimal path robot route planning; |
| Notes: | "MedlineXue, Tian Li, Liu Shuang, Liu Zhiping, Du Ming, Pang eng Research Support, Non-U.S. Gov't 2021/07/03 Math Biosci Eng. 2021 Mar 30; 18(4):3034-3045. doi: 10.3934/mbe.2021152" |
