Title:
Spatio-Temporal Case-Based Reasoning for Behavioral Selection

dc.contributor.author Arkin, Ronald C.
dc.contributor.author Likhachev, Maxim
dc.contributor.corporatename Georgia Institute of Technology. College of Computing
dc.contributor.corporatename Georgia Institute of Technology. Mobile Robot Laboratory
dc.date.accessioned 2008-05-12T14:43:36Z
dc.date.available 2008-05-12T14:43:36Z
dc.date.issued 2000
dc.description.abstract This paper presents the application of a Case-Based Reasoning approach to the selection and modification of behavioral assemblage parameters. The goal of this research is to achieve an optimal parameterization of robotic behaviors in run-time. This increases robot performance and makes a manual configuration of parameters unnecessary. The case-based reasoning module selects a set of parameters for an active behavioral assemblage in real-time. This set of parameters fits the environment better than hand-coded ones, and its performance is monitored providing feedback for a possible reselection of the parameters. This paper places a significant emphasis on the technical details of the case-based reasoning module and how it is integrated within a schema-based reactive navigation system. The paper also presents the results and evaluation of the system in both in simulation and real world robotic experiments. en_US
dc.identifier.uri http://hdl.handle.net/1853/21557
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Behavior-based robotics en_US
dc.subject Case-based reasoning en_US
dc.subject Reactive robotics en_US
dc.title Spatio-Temporal Case-Based Reasoning for Behavioral Selection 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 488966cd-f689-41af-b678-bbd1ae9c01d4
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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