Interactive Bayesian identification of kinematic mechanisms

Interactive Bayesian identification of kinematic mechanisms

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This paper addresses the problem of identifying mechanisms based on data gathered while interacting with them. We present a decision-theoretic formulation of this problem, using Bayesian filtering techniques to maintain a distributional estimate of the mechanism type and parameters. In order to redu...

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Bibliographic Details
Main Authors: Barragan, Patrick R., Lozano-Perez, Tomas, Kaelbling, Leslie P.
Other Authors: Massachusetts Institute of Technology. Materials Processing Center
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2016
Online Access:http://hdl.handle.net/1721.1/100723
https://orcid.org/0000-0003-4749-4979
https://orcid.org/0000-0002-8657-2450
https://orcid.org/0000-0001-6054-7145

Internet

http://hdl.handle.net/1721.1/100723
https://orcid.org/0000-0003-4749-4979
https://orcid.org/0000-0002-8657-2450
https://orcid.org/0000-0001-6054-7145

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