Genetic Algorithm Based Optimal Path Planning for a Mobile Robot

Autor: hsien-ming Chang, 張憲明
Rok vydání: 2008
Druh dokumentu: 學位論文 ; thesis
Popis: 96
The objective of this thesis is to find an optimal path planning strategy for a mobile robot by using the genetic algorithms(GA).First, recognize the existed obstacles in the environment, then design the genetic operator and fitness function to search optimal path planning with the capability to avoid the obstacle for a mobile robot. The Sentinel Robot and Constellation System are combined to confirm the simulated path planning solution, ensure the robot to move in the optimal path correctly and demonstrate the ability to avoid the obstacle. The goal of economizing the energy consumption and enhancing the efficiency of a mobile robot can then be achieved.
Databáze: Networked Digital Library of Theses & Dissertations