Man-machine cooperative method based on deep learning in flexible manufacturing system
Human-Robot Collaboration (HRC) is essential for enhancing productivity and flexibility in smart manufacturing, which poses requirements on accurately predicting the future movements of human operators, especially the trajectories of their upper limbs. However, existing model-based studies on human...
Saved in:
Main Author: | He, Chongshan |
---|---|
Other Authors: | Ling Keck Voon |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181138 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
基于深度学习的 LSTM 模型在 X 荧光光谱中的应用 = Application of an LSTM model based on deep learning through X-ray fluorescence spectroscopy
by: Tang, Lin, et al.
Published: (2024) -
Inverse kinematics with a geometrical approximation for multi-segment flexible curvilinear robots
by: Kim, S., et al.
Published: (2021) -
Short-Term photovoltaic power forecasting based on long short term memory neural network and attention mechanism
by: Zhou, H., et al.
Published: (2021) -
Task decoupling in robot manipulators
by: Tourassis, V.D., et al.
Published: (2014) -
Classification of ECG anomaly with dynamically-biased LSTM for continuous cardiac monitoring
by: Hu, Jinhai, et al.
Published: (2024)