Neural network control system of cooperative robot based on genetic algorithms

Attitude detection of cooperative robots can help robots recognize environment, understand tasks, and improve the safety, accuracy and efficiency of robot work. For robots with unknown configuration parameters, their configuration can be estimated; it is convenient for further kinematics and dynamic...

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Veröffentlicht in:	Neural computing & applications 2021-07, Vol.33 (14), p.8217-8226
Hauptverfasser:	Liu, Aiqin, Zhang, Yuezhong, Zhao, Honghua, Wang, Shi, Sun, Dianmin
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Attitudes Coders Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Configurations Control systems Cooperative control Data Mining and Knowledge Discovery Economic analysis Fault diagnosis Genetic algorithms Image Processing and Computer Vision Kinematics Motion control Multivariable control Network control Neural networks Optimization Parameter estimation Probability and Statistics in Computer Science Robot control Robot dynamics Robots S. I : Intelligent Computing Methodologies in Machine learning for IoT Applications Special Issue on Intelligent Computing Methodologies in Machine learning for IoT Applications
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