DocumentCode
2625802
Title
Multi-Vehicle Flocking: Scalability of Cooperative Control Algorithms using Pairwise Potentials
Author
Chuang, Yao-Li ; Huang, Yuan R. ; D´Orsogna, Maria R. ; Bertozzi, Andrea L.
Author_Institution
Dept. of Math., California Univ., Los Angeles, CA
fYear
2007
fDate
10-14 April 2007
Firstpage
2292
Lastpage
2299
Abstract
In this paper, we study cooperative control algorithms using pairwise interactions, for the purpose of controlling flocks of unmanned vehicles. An important issue is the role the potential plays in the stability and possible collapse of the group as agent number increases. We model a set of interacting Dubins vehicles with fixed turning angle and speed. We perform simulations for a large number of agents and we show experimental realizations of the model on a testbed with a small number of vehicles. In both cases, critical thresholds exist between coherent, stable, and scalable flocking and dispersed or collapsing motion of the group.
Keywords
cooperative systems; mobile robots; motion control; multi-robot systems; remotely operated vehicles; cooperative control; multivehicle flocking; pairwise potentials; unmanned vehicles; Automatic control; Clustering algorithms; Kinematics; Noise robustness; Numerical simulation; Robotics and automation; Scalability; Stability; System testing; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2007 IEEE International Conference on
Conference_Location
Roma
ISSN
1050-4729
Print_ISBN
1-4244-0601-3
Electronic_ISBN
1050-4729
Type
conf
DOI
10.1109/ROBOT.2007.363661
Filename
4209425
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