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2009 Third UKSim European Symposium on Computer Modeling and Simulation
Using Particle Swarm Optimization for Robot Path Planning in Dynamic Environments with Moving Obstacles and Target
Athens, Greece
November 25-November 27
ISBN: 978-0-7695-3886-0
| ASCII Text | x | ||
| Amin Zargar Nasrollahy, Hamid Haj Seyyed Javadi, "Using Particle Swarm Optimization for Robot Path Planning in Dynamic Environments with Moving Obstacles and Target," Computer Modeling and Simulation, UKSIM European Symposium on, pp. 60-65, 2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/EMS.2009.67, author = {Amin Zargar Nasrollahy and Hamid Haj Seyyed Javadi}, title = {Using Particle Swarm Optimization for Robot Path Planning in Dynamic Environments with Moving Obstacles and Target}, journal ={Computer Modeling and Simulation, UKSIM European Symposium on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3886-0}, pages = {60-65}, doi = {http://doi.ieeecomputersociety.org/10.1109/EMS.2009.67}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Modeling and Simulation, UKSIM European Symposium on TI - Using Particle Swarm Optimization for Robot Path Planning in Dynamic Environments with Moving Obstacles and Target SN - 978-0-7695-3886-0 SP60 EP65 A1 - Amin Zargar Nasrollahy, A1 - Hamid Haj Seyyed Javadi, PY - 2009 KW - robot path planning KW - trajectory planning KW - optimization KW - Particle Swarm Optimization KW - dynamic environments KW - moving obstacles KW - moving target VL - 0 JA - Computer Modeling and Simulation, UKSIM European Symposium on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EMS.2009.67
Robot path planning in known and dynamic environments is feasible for mobile robots and its main purpose is to find a collision free path for a robot from an initial position to a goal position in an environment with obstacles. In this paper the goal position is assumed to be moving over the time. Also our environment includes moving obstacles as well as static ones. We present a new approach for path planning mobile robots using Particle Swarm Optimization in order to minimize total path planning time while avoiding the local optimums. Simulation is used to validate and illustrate the approach.
Index Terms:
robot path planning, trajectory planning, optimization, Particle Swarm Optimization, dynamic environments, moving obstacles, moving target
Citation:
Amin Zargar Nasrollahy, Hamid Haj Seyyed Javadi, "Using Particle Swarm Optimization for Robot Path Planning in Dynamic Environments with Moving Obstacles and Target," ems, pp.60-65, 2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009
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