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Safe graph rearrangements for distributed connectivity of robotic networks

Michael Schuresko, Jorge Cortés

Year
2007
Citations
14

Abstract

This paper studies distributed algorithms for performing graph rearrangements that preserve the connectivity of a robotic network. Given a connected graph describing the topology of the network, preserving a fixed set of edges while performing a coordination task guarantees that connectivity is maintained. However, the preservation of a fixed set of edges often results in suboptimal and over-constrained robot operation. This paper presents a distributed algorithm to perform graph rearrangements that allow the robotic network to transform its interconnection topology between any two trees. We present a method for composing this algorithm with other control algorithms, and make preference guarantees about the choices of links to be preserved under the resulting composition. We use these ideas to propose a distributed formation morphing algorithm, and characterize its time complexity.

Keywords

Computer scienceGraphDistributed computingDistributed algorithmTheoretical computer scienceNetwork topologyRobotTopology (electrical circuits)Artificial intelligenceMathematics

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