Title:
Assignment and pursuit in temporally heterogeneous robotic teams

dc.contributor.advisor Egerstedt, Magnus B.
dc.contributor.author Oei, Marius Florian Bruno
dc.contributor.committeeMember Ames, Aaron
dc.contributor.committeeMember Sawodny, Oliver
dc.contributor.committeeMember Tarin, Cristina
dc.contributor.department Mechanical Engineering
dc.date.accessioned 2016-08-22T12:25:05Z
dc.date.available 2016-08-22T12:25:05Z
dc.date.created 2016-08
dc.date.issued 2016-08-01
dc.date.submitted August 2016
dc.date.updated 2016-08-22T12:25:05Z
dc.description.abstract Traditionally, robotic systems are built to move as fast as possible. In contrast to this, we investigate slowness and its effects on heterogeneous robotic teams inspired by biological systems. An assignment problem for static targets and a team pursuit problem for heterogeneous evaders are addressed. The value of slowness in solving these problems optimally is examined. We further assemble the optimal teams for given problems by finding a compromise between performance and energy consumption or monetary cost. The results are validated in simulation and implemented on a robotic testbed.
dc.description.degree M.S.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/55677
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Robotics
dc.subject Slowness
dc.subject Temporal heterogeneity
dc.subject Assignment
dc.subject Pursuit
dc.subject Robotarium
dc.title Assignment and pursuit in temporally heterogeneous robotic teams
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.advisor Egerstedt, Magnus B.
local.contributor.author Egerstedt, Magnus B.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
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relation.isAuthorOfPublication dd4872d3-2e0d-435d-861d-a61559d2bcb6
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Masters
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