Scholarly PublicationRashid, R. and Perumal, N. and Elamvazuthi, I. and Tageldeen, M.K. and Khan, M.K.A.A. and Parasuraman, S. (2017) Mobile robot path planning using Ant Colony Optimization. 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016.
Full text not available from this repository.Abstract
Ant colony optimization (ACO) technique is proposed to solve the mobile robot path planning (MRPP) problem. In order to demonstrate the effectiveness of ACO in solving the MRPP problem, several maps of varying complexity used by an earlier researcher is used for evaluation. Each map consists of static obstacles in different arrangements. Besides that, each map has a grid representation with an equal number of rows and columns. The performance of the proposed ACO is tested on a given set of maps. Overall, the results demonstrate the effectiveness of the proposed approach for path planning. © 2016 IEEE.
| Item Type: | Article |
|---|---|
| Impact Factor: | cited By 0 |
| Departments / MOR / COE: | Division > Academic > Faculty of Engineering > Electrical & Electronic Engineering |
| Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
| Date Deposited: | 22 Apr 2018 14:43 |
| Last Modified: | 22 Apr 2018 14:43 |
| URI: | http://scholars.utp.edu.my/id/eprint/20155 |
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