Total for the last 12 months
number of access : ?
number of downloads : ?
ID 118141
Author
Prasetya, Dwi Arman The University of Tokushima
Kuwahara, Akinobu The University of Tokushima
Keywords
multiple mobile robots
obstacle avoidance
tracking target
particle swarm optimization (PSO)
Content Type
Journal Article
Description
In this paper, we propose a cooperative control system with obstacle avoidance for multiple mobile robots using particle swarm optimization (PSO) in an unknown environment to perform tasks that are difficult for a single robot to accomplish. The problem considered in this paper is the exploration of an unknown environment with the goal of finding and tracking targets using multiple mobile robots. The mobile robots only have basic information about the position of other mobile robots and the relative distances between mobile robots and target. PSO has been demonstrated to be a useful algorithm for tracking target applications for multiple mobile robots in unknown environments. The experimental results demonstrate the validity of the proposed cooperative control system with obstacle avoidance of multiple mobile robots that track targets.
Journal Title
Journal of Signal Processing
ISSN
18801013
Publisher
Research Institute of Signal Processing
Volume
17
Issue
5
Start Page
199
End Page
206
Published Date
2013-09-25
Remark
利用は著作権の範囲内に限られる。
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Science and Technology