| Title |
A Study on Path Planning of an Autonomous Mobile Vehicle for Transport System Using Genetic Algorithms |
| Abstract |
An autonomous mobile vehicle for transport system must plan optimal path in work environment without human supervision and obstacle collision. This is to reach a destination without getting lost. In this paper, a genetic algorithm for global and local path planning and collision avoidance is proposed. The genetic algorithm searches for a path in the entire and continuous free space and unifies global path planting and local path planning. The simulation shows the proposed method is an efficient and effective method when compared with the traditional collision avoidance algorithms. |