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Research on power modeling of the industrial robot based on..:
, In:
2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE)
,
Yao, Ming
;
Zhao, Qinzhi
;
Shao, Zhufeng
. - p. 87-92 , 2022
Link:
https://doi.org/10.1109/CACRE54574.2022.9834200
RT T1
2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE)
: T1
Research on power modeling of the industrial robot based on ResNet
UL https://suche.suub.uni-bremen.de/peid=ieee-9834200&Exemplar=1&LAN=DE A1 Yao, Ming A1 Zhao, Qinzhi A1 Shao, Zhufeng A1 Zhao, Yanling YR 2022 K1 Deep learning K1 Energy consumption K1 Power demand K1 Service robots K1 Transfer learning K1 Predictive models K1 Prediction algorithms K1 Industrial Robotics K1 Power Modeling K1 Deep Learning K1 ResNet K1 Transfer Learning SP 87 OP 92 LK http://dx.doi.org/https://doi.org/10.1109/CACRE54574.2022.9834200 DO https://doi.org/10.1109/CACRE54574.2022.9834200 SF ELIB - SuUB Bremen
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