PSO-tuned F2 method for multi-robot navigation

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Wang, D
dc.contributor.author Kwok, NM
dc.contributor.author Liu, DK
dc.contributor.author Lau, H
dc.contributor.author Dissanayake, G
dc.date.accessioned 2009-11-09T05:36:00Z
dc.date.issued 2007
dc.identifier.citation IEEE International Conference on Intelligent Robots and Systems, 2007, pp. 3765 - 3770
dc.identifier.isbn 1424409128
dc.identifier.isbn 9781424409129
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2602
dc.description.abstract The F2 (Force Field) method is a novel approach for multi-robot motion planning and collision avoidance. The setting of parameters is however vital to its performance. This paper presents an approach using Particle Swarm Optimization (PSO) to properly determine the control parameters for the F 2 method. The goal of the optimization is to minimize the resultant path lengths. The approach presented in this paper can be used as a tool to obtain optimal parameters for various tasks before their execution. Simulations are carried out in various environments to show the feasibility of this approach. ©2007 IEEE.
dc.relation.isbasedon 10.1109/IROS.2007.4398983
dc.title PSO-tuned F2 method for multi-robot navigation
dc.type Conference Proceeding
dc.parent IEEE International Conference on Intelligent Robots and Systems
dc.journal.number en_US
dc.publocation USA en_US
dc.publocation USA
dc.publocation USA
dc.publocation USA
dc.identifier.startpage 3765 en_US
dc.identifier.endpage 3770 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference en_US
dc.conference Verified OK en_US
dc.conference IEEE/RSJ International Conference on Intelligent Robots and Systems
dc.conference IEEE/RSJ International Conference on Intelligent Robots and Systems
dc.conference IEEE/RSJ International Conference on Intelligent Robots and Systems
dc.conference.location San Diego, California, USA en_US
dc.for 0913 Mechanical Engineering
dc.personcode 000350
dc.personcode 011224
dc.personcode 995424
dc.personcode 998044
dc.personcode 105612
dc.percentage 100 en_US
dc.classification.name Mechanical Engineering en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE/RSJ International Conference on Intelligent Robots and Systems en_US
dc.date.activity 20071029 en_US
dc.date.activity 2007-10-29
dc.date.activity 2007-10-29
dc.date.activity 2007-10-29
dc.location.activity San Diego, California, USA en_US
dc.location.activity San Diego, California, USA
dc.location.activity San Diego, California, USA
dc.location.activity San Diego, California, USA
dc.description.keywords collision avoidance , mobile robots , multi-robot systems , particle swarm optimisation en_US
dc.description.keywords collision avoidance , mobile robots , multi-robot systems , particle swarm optimisation
dc.description.keywords collision avoidance , mobile robots , multi-robot systems , particle swarm optimisation
dc.description.keywords collision avoidance , mobile robots , multi-robot systems , particle swarm optimisation
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems


Files in this item

This item appears in the following Collection(s)

Show simple item record