A Data-Driven Method for Predicting and Optimizing Industrial Robot Energy Consumption Under Unknown Load Conditions

The growing diversity and number of industrial robots make energy consumption prediction and optimization increasingly essential. Current data-driven approaches, particularly those based on multi-layer perception (MLP), have shown feasibility but typically overlook the variability or unknown nature...

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Bibliographic Details
Main Authors: Qing Chang, Tiantian Yuan, Haifeng Li, Yuxiang Chen, Xuehao Wang, Sen Gao, Hongsheng Ren, Xiangyun Zhao, Lingyu Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Actuators
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Online Access:https://www.mdpi.com/2076-0825/13/12/516
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