eprintid: 8845
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/88/45
datestamp: 2023-11-09 16:20:46
lastmod: 2023-11-09 16:20:46
status_changed: 2023-11-09 16:13:40
type: conference_item
metadata_visibility: show
creators_name: Rashid, R.
creators_name: Perumal, N.
creators_name: Elamvazuthi, I.
creators_name: Tageldeen, M.K.
creators_name: Khan, M.K.A.A.
creators_name: Parasuraman, S.
title: Mobile robot path planning using Ant Colony Optimization
ispublished: pub
keywords: Artificial intelligence; Manufacture; Mobile robots; Motion planning; Robot programming; Robotics; Robots, Ant Colony Optimization (ACO); Robot path-planning; Static obstacles, Ant colony optimization
note: cited By 44; Conference of 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 ; Conference Date: 25 September 2016 Through 27 September 2016; Conference Code:126431
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.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015962268&doi=10.1109%2fROMA.2016.7847836&partnerID=40&md5=bda25be6f6d2162eb028ffe7718cf325
id_number: 10.1109/ROMA.2016.7847836
full_text_status: none
publication: 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016
refereed: TRUE
isbn: 9781509009282
citation:   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.  In: UNSPECIFIED.