Abstract | ||
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This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks, where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct. |
Year | DOI | Venue |
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2002 | 10.1109/TRA.2004.824698 | Robotics and Automation, IEEE Transactions |
Keywords | Field | DocType |
asynchronous algorithms,optimisation,distributed algorithms,mobile sensing networks,autonomous vehicle networks,vector quantization,locational optimization,mobile tunable sensor,mobile robots,vehicles,multi-robot systems,computational geometry,decentralized control,utility functions,vector quantisation,coverage control,multi-agent systems,interconnected robotic systems,voronoi diagrams,centroidal voronoi partitions,wireless sensor networks,mobile agents,decentralised control,sensor fusion,gradient descent scheme,gradient descent algorithms,sensor allocation,gradient descent,biosensors,prototypes,remotely operated vehicles,sensor network,indexing terms,network performance | Gradient descent,Decentralised system,Control theory,Computational geometry,Control engineering,Distributed algorithm,Vector quantization,Voronoi diagram,Wireless sensor network,Optimization problem,Mathematics | Conference |
Volume | Issue | ISSN |
20 | 2 | 1042-296X |
ISBN | Citations | PageRank |
0-7803-7272-7 | 929 | 78.06 |
References | Authors | |
39 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jorge Cortes | 1 | 1452 | 128.75 |
Sonia Martìnez | 2 | 1203 | 111.36 |
T. Karatas | 3 | 929 | 78.06 |
Francesco Bullo | 4 | 4989 | 415.53 |