Multi-Robot Communication-Sensitive Reconnaissance

Arkin, Ronald C.; Wagner, Alan

Title:

Multi-Robot Communication-Sensitive Reconnaissance

dc.contributor.author	Arkin, Ronald C.
dc.contributor.author	Wagner, Alan
dc.contributor.corporatename	Georgia Institute of Technology. College of Computing
dc.date.accessioned	2008-04-28T19:19:40Z
dc.date.available	2008-04-28T19:19:40Z
dc.date.issued	2003
dc.description.abstract	This paper presents a method for multi-robot communication-sensitive reconnaissance. This approach utilizes collections of precompiled vector fields in parallel to coordinate a team of robots in a manner that is responsive to communication failures. Collections of vector fields are organized at the task level for reusability and generality. Different team sizes, scenarios, and task management strategies are investigated. Results indicate an acceptable reduction in communication attenuation when compared to other related methods of navigation. Online management of tasks and potential scalability are discussed.	en_US
dc.identifier.uri	http://hdl.handle.net/1853/21245
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.subject	Behavior-based robotics	en_US
dc.subject	Internalized plans	en_US
dc.subject	Multi-robot	en_US
dc.subject	Reconnaisance	en_US
dc.title	Multi-Robot Communication-Sensitive Reconnaissance	en_US
dc.type	Text
dc.type.genre	Paper
dspace.entity.type	Publication
local.contributor.author	Arkin, Ronald C.
local.contributor.corporatename	College of Computing
local.contributor.corporatename	Mobile Robot Laboratory
local.contributor.corporatename	Institute for Robotics and Intelligent Machines (IRIM)
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