A faster path planner using accelerated particle swarm optimization |
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| Authors: | Abdullah Zawawi Mohamed Sang Heon Lee Hung Yao Hsu Namrata Nath |
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| Affiliation: | 1. Faculty of Engineering and Built Environment, School of Materials and Mechanical Engineering, National University of Malaysia (UKM), 43600, Bangi, Malaysia
2. Division of Information Technology, Engineering and Environment, School of Advanced Manufacturing and Mechanical Engineering, University of South Australia, Mawson Lakes, SA, 5095, Australia
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| Abstract: | The idea of placing small mobile robots to move around in a large building to detect potential intruders has been around for some time. However, there are still two major hurdles to overcome: to locate itself in the environment and to make a decision on how to move around safely and effectively at a reasonable computation cost. This paper describes a mathematical model for developing a scheme for an autonomous low cost mobile robot system using visual simultaneous localization and mapping and accelerated particle swarm intelligent path planner. The results indicated that this system could provide a solution for the problem of indoor mobile robot navigation. Advances in computer technology make this technique a cost effective solution for a future home service robot. |
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