Description
This text file contains an example of how to train a multilayer perceptron robot error compensation model using grid search hyperparameter optimisation, and how the trained model can be used to test on a new robot program. This code is written in Python 3.
Dataset is embargoed until 31 December 2023.
Dataset is embargoed until 31 December 2023.
Date made available | Sep 2022 |
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Publisher | Queen's University Belfast |
Date of data production | 2021 |
Student theses
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Machine learning methods to improve the accuracy of an articulated robot for a cyber-physical production system
Author: McGarry, L., Dec 2022Supervisor: Murphy, A. (Supervisor) & Butterfield, J. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
Datasets
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Support Vector Regression Example Code
McGarry, L. (Creator), Queen's University Belfast, Sep 2022
DOI: 10.17034/84db96ac-2827-4c11-ba31-d5c5fe6aa4b6
Dataset
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2000 Point UR10 Robot Program
McGarry, L. (Creator), Queen's University Belfast, Sep 2022
DOI: 10.17034/e58d16e9-2468-4d60-862c-a51c0bd74e8d
Dataset