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Machine-learning-based approach to improve the positioning ..:
, In:
2020 20th International Conference on Control, Automation and Systems (ICCAS)
,
Yoshitsugu, K.
;
Kato, D.
;
Hirogaki, T.
.. - p. 323-328 , 2020
Link:
https://doi.org/10.23919/ICCAS50221.2020.9268231
RT T1 <cTitle>2020 20th International Conference on Control, Automation and Systems (ICCAS)</cTitle>: T1 <Title>Machine-learning-based approach to improve the positioning accuracy of large industrial robots</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9268231&Exemplar=1&LAN=DE A1 Yoshitsugu, K. A1 Kato, D. A1 Hirogaki, T. A1 Aoyama, E. A1 Takahashi, K. YR 2020 SN 2642-3901 K1 Robot kinematics K1 Random forests K1 Mathematical model K1 Position measurement K1 Measurement by laser beam K1 Service robots K1 Measurement uncertainty K1 Industrial robots K1 Link K1 Random forest SP 323 OP 328 LK http://dx.doi.org/https://doi.org/10.23919/ICCAS50221.2020.9268231 DO https://doi.org/10.23919/ICCAS50221.2020.9268231 SF ELIB - SuUB Bremen
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