Title:
Getting it Right the First time: Robot Mission Guarantees in the Presence of Uncertainty

dc.contributor.author Lyons, Damian M.
dc.contributor.author Arkin, Ronald C.
dc.contributor.author Nirmal, P.
dc.contributor.author Jiang, Shu
dc.contributor.author Liu, Tsung-Ming
dc.contributor.author Deeb, J.
dc.contributor.corporatename Georgia Institute of Technology. College of Computing en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Interactive Computing en_US
dc.contributor.corporatename Georgia Institute of Technology. Mobile Robot Laboratory en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.contributor.corporatename Fordham University. Dept. of Computer and Information Science
dc.date.accessioned 2014-01-03T20:27:10Z
dc.date.available 2014-01-03T20:27:10Z
dc.date.issued 2013
dc.description.abstract Certain robot missions need to perform predictably in a physical environment that may only be poorly characterized in advance. We have previously developed an approach to establishing performance guarantees for behavior-based controllers in a process-algebra framework. We extend that work here to include random variables, and we show how our prior results can be used to generate a Dynamic Bayesian Network for the coupled system of program and environment model. Verification is reduced to a filtering problem for this network. Finally, we present validation results that demonstrate the effectiveness of the verification of a multiple waypoint robot mission using this approach. en_US
dc.embargo.terms null en_US
dc.identifier.uri http://hdl.handle.net/1853/50051
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Autonomous robots en_US
dc.subject Emergent behavior en_US
dc.subject Multiple waypoint en_US
dc.subject Performance guarantees en_US
dc.title Getting it Right the First time: Robot Mission Guarantees in the Presence of Uncertainty 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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relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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