Title: Dynamic path planning of mobile robot based on ant colony algorithm
Authors: Long Zhuo-Qun
Addresses: School of Electronic Engineering, Xi'an Aeronautical University, Xi'an, China
Abstract: The thesis makes vehicle in cross-country environment as research object, and uses improved ant colony algorithm to research and analyse the cross-county path planning. First, improved ant colony algorithm is used to research cross-county path planning of vehicle, then slope table and roughness table are introduced to analyse topographic slope and land surface property's affect on path planning, and path optimisation algorithm is designed considering restriction of slop and roughness. Simulation result shows that this algorithm can realise cross-county path planning with speediness and efficiency. Experimental result demonstrates that the improved ant colony algorithm has stronger feasibility and better searching capability.
Keywords: path planning of robot; land surface property; optimal method; ant colony.
DOI: 10.1504/IJRIS.2018.092215
International Journal of Reasoning-based Intelligent Systems, 2018 Vol.10 No.2, pp.122 - 127
Received: 17 Apr 2017
Accepted: 29 May 2017
Published online: 11 Jun 2018 *