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Mobile robot path planning using Ant Colony Optimization

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 stat...

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Main Authors: Rashid, R., Perumal, N., Elamvazuthi, I., Tageldeen, M.K., Khan, M.K.A.A., Parasuraman, S.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015962268&doi=10.1109%2fROMA.2016.7847836&partnerID=40&md5=bda25be6f6d2162eb028ffe7718cf325
http://eprints.utp.edu.my/20155/
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spelling my.utp.eprints.201552018-04-22T14:43:39Z Mobile robot path planning using Ant Colony Optimization Rashid, R. Perumal, N. Elamvazuthi, I. Tageldeen, M.K. Khan, M.K.A.A. Parasuraman, S. 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. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015962268&doi=10.1109%2fROMA.2016.7847836&partnerID=40&md5=bda25be6f6d2162eb028ffe7718cf325 Rashid, 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 . http://eprints.utp.edu.my/20155/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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.
format Article
author Rashid, R.
Perumal, N.
Elamvazuthi, I.
Tageldeen, M.K.
Khan, M.K.A.A.
Parasuraman, S.
spellingShingle Rashid, R.
Perumal, N.
Elamvazuthi, I.
Tageldeen, M.K.
Khan, M.K.A.A.
Parasuraman, S.
Mobile robot path planning using Ant Colony Optimization
author_facet Rashid, R.
Perumal, N.
Elamvazuthi, I.
Tageldeen, M.K.
Khan, M.K.A.A.
Parasuraman, S.
author_sort Rashid, R.
title Mobile robot path planning using Ant Colony Optimization
title_short Mobile robot path planning using Ant Colony Optimization
title_full Mobile robot path planning using Ant Colony Optimization
title_fullStr Mobile robot path planning using Ant Colony Optimization
title_full_unstemmed Mobile robot path planning using Ant Colony Optimization
title_sort mobile robot path planning using ant colony optimization
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015962268&doi=10.1109%2fROMA.2016.7847836&partnerID=40&md5=bda25be6f6d2162eb028ffe7718cf325
http://eprints.utp.edu.my/20155/
_version_ 1738656171496046592
score 13.18916

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