Chenguang Yang, Chao Zeng, Jianwei Zhang

Robot Learning Human Skills and Intelligent Control Design (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book focusses on robotic skill learning and intelligent control for robotic manipulators including enabling of robots to efficiently learn motor and stiffness/force regulation policies from humans. It explains transfer of human limb impedance control strategies to the robots so that the adaptive impedance control for the robot can be realized.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 190
• Erscheinungstermin: 21. Juni 2021
• Englisch
• ISBN-13: 9781000395174
• Artikelnr.: 61762453

Autorenporträt

Chenguang Yang is a Co-Chair of the Technical Committee on Collaborative Automation for Flexible Manufacturing (CAFM), IEEE Robotics and Automation Society and Co-Chair of the Technical Committee on Bio-mechatronics and Bio-robotics Systems (B2S), IEEE Systems, Man, and Cybernetics Society.

Chao Zeng is currently a Research Associate at the Institute of Technical Aspects of Multimodal Systems, Universität Hamburg.

Jianwei Zhang is the director of TAMS, Department of Informatics, Universität Hamburg, Germany.

Inhaltsangabe

1. Introduction. 2. Robot platforms and software systems. 3. Human-robot
stiffness transfer based on sEMG signals. 4. Learning and Generalisation of
Variable Impedance Skills. 5. Learning human skills from multimodal
demonstration. 6. Skill Modeling based on Extreme Learning Machine. 7.
Neural Network Enhanced Robot Manipulator Control.