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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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| Główni autorzy: | , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Frontiers Media S.A.
2022-05-01
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| Seria: | Frontiers in Neurorobotics |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.frontiersin.org/articles/10.3389/fnbot.2022.883816/full |
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