Ibrahim, Mohd Faisal (2009) Genetic Algorithm-based Robot Path Planning. Industrial Electronic Seminar.
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Abstract
Nowadays, building an intelligent robot that able to move by itself from one location to another without collides with other obstacles is of interest in many applications. In the real world, condition of an environment is always unpredictable and changes with the existence of dynamic obstacles. This paper tends to propose an algorithm for robot path planning in a dynamic environment using Genetic algorithm (GA) technique. The proposed algorithm is able to find an optimum path for a robot and avoid any static and dynamic obstacles. The variation of the proposed algorithm is shown with the implementation of the algorithm in 4-way movement robot and 8-way movement robot. The simulation results show significant performance of the algorithm when compared with real optimum path.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Ms Mellissa Andayani |
Date Deposited: | 17 Mar 2011 08:03 |
Last Modified: | 17 Mar 2011 08:03 |
URI: | http://repo.pens.ac.id/id/eprint/188 |
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