Date of Award

2017

Degree Type

Thesis

Degree Name

M.Sc.

Department

Computer Science

First Advisor

Wu, Dan

Keywords

Ant colony optimization; Grid Method; Robot Path Planning

Rights

CC-BY-NC-ND

Abstract

The path planning for mobile robots is one of the core contents in the field of robotics research with complex, restrictive and nonlinear characteristics. It consists of automatically determining a path from an initial position of the robot to its final position. Due to classic approaches have several drawbacks, evolutionary methods such as Ant Colony Optimization Algorithm (ACA) and Genetic Algorithm (GA) are employed to solve the path planning efficiently.

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