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An Enhanced Positional Error Compensation Method for Rock Drilling Robots Based on LightGBM and RBFN

Rock drilling robots are able to greatly reduce labor intensity and improve efficiency and quality in tunnel construction. However, due to the characteristics of the heavy load, large span, and multi-joints of the robot manipulator, the errors are diverse and non-linear, which pose challenges to the...

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Detalles Bibliográficos
Autores principales:	Zhou, Xuanyi, Bai, Wenyu, He, Jilin, Dai, Ju, Liu, Peng, Zhao, Yuming, Bao, Guanjun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136075/ https://www.ncbi.nlm.nih.gov/pubmed/35645760 http://dx.doi.org/10.3389/fnbot.2022.883816

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