Article
Authorship
SORIA, CARLOS MIGUEL
;
Ricardo Carelli
;
Rafael Kelly
;
Juan Ibarra Zannatha
Date
2006
Publishing House and Editing Place
CCC Publications
Magazine
International Journal of Computers, Communications & Control (IJCCC),
vol. 1
(pp. 85-94)
- ISSN 1841-9844
CCC Publications
CCC Publications
ISSN
1841-9844
Summary
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SIGEVA
This work presents a control strategy for coordination of multiple robots based on artificial vision to measure the relative posture between them, in order to reach and maintain a specified formation. Given a leader robot that moves about an unknown trajectory with unknown velocity, a controller is designed to maintain the robots following the leader at a certain distance behind, by using visual information about the position of the leader robot. The control system is proved to be asymptoticall...
This work presents a control strategy for coordination of multiple robots based on artificial vision to measure the relative posture between them, in order to reach and maintain a specified formation. Given a leader robot that moves about an unknown trajectory with unknown velocity, a controller is designed to maintain the robots following the leader at a certain distance behind, by using visual information about the position of the leader robot. The control system is proved to be asymptotically stable at the equilibrium point, which corresponds to the accomplishment of the navigation objective. Experimental results with two robots, a leader and a follower, are included to show the performance of the vision-based control system.
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