Title :
A scalable graph model and coordination algorithms for multi-robot systems
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI
Abstract :
This paper presents a distributed model and the corresponding control algorithms for the cooperation and redeployment of mobile sensor networks. A mobile sensor network is composed of a collection of wireless connected mobile robots equipped with a variety of sensors. The system can be rapidly deployed to hostile environment, inaccessible terrains or disaster relief operations. The mobile sensor network is essentially a cooperative multi-robot system. Delaunay triangulation (DT) is used to define the geometrical relationship between neighboring sensor nodes. Based on this distributed model, this paper discusses a fault tolerant algorithm for autonomous self-deployment of the mobile robots. The algorithm considers the environment constraints, and the presence of obstacles. The convergence of this algorithm is analyzed. The distributed algorithm enables the system to reconfigure itself such that the area covered by the system can be enlarged. Simulation results have shown the effectiveness of the distributed model and the deployment algorithms
Keywords :
convergence; cooperative systems; distributed sensors; fault tolerance; graph theory; intelligent robots; mesh generation; mobile robots; multi-robot systems; sensor fusion; wireless sensor networks; Delaunay triangulation; autonomous self-deployment; convergence; cooperation; cooperative multi-robot system; coordination algorithms; distributed model; environment constraints; fault tolerant algorithm; geometrical relationship; mobile sensor networks redeployment; obstacles; scalable graph model; system self-reconfiguration; wireless connected mobile robots; Communication system control; Graph theory; Military computing; Mobile communication; Mobile robots; Multirobot systems; Robot kinematics; Robot sensing systems; Sensor systems; Wireless sensor networks;
Conference_Titel :
Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-9047-4
DOI :
10.1109/AIM.2005.1511228