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    Spatio-Temporal Case-Based Reasoning for Behavioral Selection

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    SpatioTemporalCBR.pdf (861.6Kb)
    Date
    2000
    Author
    Arkin, Ronald C.
    Likhachev, Maxim
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    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.
    URI
    http://hdl.handle.net/1853/21557
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    • Mobile Robot Laboratory [187]
    • Mobile Robot Laboratory Publications [187]

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