Title:
Solving Coverage Problems with Embedded Graph Grammars

dc.contributor.author McNew, John-Michael
dc.contributor.author Klavins, Eric
dc.contributor.author Egerstedt, Magnus B.
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.contributor.corporatename University of Washington
dc.date.accessioned 2011-04-12T14:05:47Z
dc.date.available 2011-04-12T14:05:47Z
dc.date.issued 2007-04
dc.description The original publication is available at www.springerlink.com. en_US
dc.description.abstract We show how Embedded Graph Grammars (EGGs) are used to specify local interaction rules between mobile robots in a natural manner. This formalism allows us to treat local network topologies, geometric transition conditions, and individual robot dynamics and control modes in a unified framework. An example EGG is demonstrated that achieves sensor coverage in a provably stable and correct manner. The algorithm results in a global network with a lattice-like triangulation. en_US
dc.identifier.citation J.M. McNew, E. Klavins, and M. Egerstedt. Solving Coverage Problems with Embedded Graph Grammars. Hybrid Systems: Computation and Control, Springer-Verlag, pp. 413-427, Pisa, Italy April 2007. en_US
dc.identifier.isbn 978-3-540-71492-7
dc.identifier.uri http://hdl.handle.net/1853/38476
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Springer-Verlag
dc.subject Networked systems en_US
dc.subject Mobile robots en_US
dc.subject Embedded Graph Grammars en_US
dc.title Solving Coverage Problems with Embedded Graph Grammars en_US
dc.type Text
dc.type.genre Book Chapter
dspace.entity.type Publication
local.contributor.author Egerstedt, Magnus B.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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