A multi-step learning approach for in-process monitoring of depth-of-cuts in robotic countersinking operations

Leco, Mateo (2020) A multi-step learning approach for in-process monitoring of depth-of-cuts in robotic countersinking operations. PhD thesis, University of Sheffield.

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Keywords: robotic machining, intelligent monitoring system, signal processing, gaussian process regression, multi-step learning procedure
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Advanced Manufacuring Research Centre (Sheffield)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.803676
Depositing User: Dr Mateo Leco
Date Deposited: 08 Apr 2020 14:17
Last Modified: 01 May 2021 09:53

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