Coordinated Robot Navigation via Hierarchical Clustering

We introduce the use of hierarchical clustering for relaxed deterministic coordination and control of multiple robots. Traditionally, an unsupervised learning method, hierarchical clustering offers a formalism for identifying and representing spatially cohesive and segregated robot groups at differe...

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Vydané v:	IEEE transactions on robotics Ročník 32; číslo 2; s. 352 - 371
Hlavní autori:	Arslan, Omur, Guralnik, Dan P., Koditschek, Daniel E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aerospace electronics Algebra Algorithms Cluster analysis Cohesion Collision avoidance Combinatorial analysis Computation configuration space Construction coordinated motion planning Euclidean space formation control hierarchical clustering Invariants multirobot systems Navigation navigation functions Planning Robot kinematics Robot sensing systems Robots segregation swarm robots Cohesion configuration space navigation functions swarm robots coordinated motion planning hierarchical clustering segregation formation control multirobot systems
ISSN:	1552-3098, 1941-0468
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