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.

Abstract

Metadata

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)
Depositing User: Dr Mateo Leco
Date Deposited: 08 Apr 2020 14:17
Last Modified: 08 Apr 2020 14:17

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