May 30, 2023 · This study adopted a data-driven modeling approach using a batch-normalized long short-term memory (BN-LSTM) network to construct a robust ...

This manuscript proposes BN-LSTM-based Energy Consumption Modeling Approach for an Industrial Robot Manipulator. The major contribution of the manuscript is ...

Feb 1, 2024 · This manuscript proposes BN-LSTM-based Energy Consumption Modeling Approach for an Industrial Robot Manipulator. The major contribution of ...

Feb 23, 2024 · The authors use measurements on a KUKA KR60-3 robot, and the models created based on the collected data achieve a MAPE error of 4.21%.

BN-LSTM-based energy consumption modeling approach for an industrial robot manipulator ; Journal: Robotics and Computer-Integrated Manufacturing, 2024, p. 102629.

Aug 23, 2023 · BN-LSTM-based energy consumption modeling approach for an industrial robot manipulator · Robotics and Computer-Integrated Manufacturing ( IF ...

Nov 20, 2021 · The transfer-learning based model creation method for predicting the energy consumption of industrial robots.

This manuscript proposes BN-LSTM-based Energy Consumption Modeling Approach for an Industrial Robot Manipulator. The major contribution of the manuscript is ...

A BN-LSTM-Based Energy Consumption Modelling Approach for an Industrial Robot Manipulator ... In this study, I adopt a data-driven modeling approach using ...

Experiments are conducted on two distinct robot systems, the Epson C4 and the Siasun SR10C, with nonidentical operating parameter structures and sample sizes.