Modeling and Simulation of Robot Inverse Dynamics Using LSTM-Based Deep Learning Algorithm for Smart Cities and Factories

Modeling and Simulation of Robot Inverse Dynamics Using LSTM-Based Deep Learning Algorithm for Smart Cities and Factories

In smart cities and factories, robotic applications require high dexterity and security, which requires precise inverse dynamics model. However, the physical modeling methods cannot model the uncertain factors of the manipulator such as flexibility, joint clearance and friction, etc. As an alternati...

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Bibliographic Details
Main Authors: Nan Liu, Liangyu Li, Bing Hao, Liusong Yang, Tonghai Hu, Tao Xue, Shoujun Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Smart cities and factories
inverse dynamics
robot
green computing
deep learning
LSTM
Online Access:https://ieeexplore.ieee.org/document/8918341/

Internet

https://ieeexplore.ieee.org/document/8918341/

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