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Error Modeling And Compensation Of 3D Scanning Robot System Based On Pso-Rbfnn Cover

Error Modeling And Compensation Of 3D Scanning Robot System Based On Pso-Rbfnn

International Journal on Smart Sensing and Intelligent Systems
Volume 7 (2022): Issue 2 (January 2022)
By:  and    
Open Access
|Dec 2017
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DOI: https://doi.org/10.21307/ijssis-2017-684 | Journal eISSN: 1178-5608
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Language: English
Page range: 837 - 855
Submitted on: Nov 30, 2013
Accepted on: Jun 1, 2014
Published on: Dec 27, 2017
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
3D scanning robot system,
6 degree of freedom (DOF) robot,
line-structured light sensor,
particle swarm optimization radial basis function neural network (PSO-RBFNN),
error model,
error compensation
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2017 Jianhong Qi, Jinda Cai, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 7 (2022): Issue 2 (January 2022)
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