Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Robot Learning Human Skills and Intelligent Control Design

TaschenbuchKartoniert, Paperback
174 Seiten
Englisch
CRC Presserschienen am25.09.2023
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.mehr
Verfügbare Formate
BuchGebunden
EUR162,50
TaschenbuchKartoniert, Paperback
EUR63,00
E-BookPDF0 - No protectionE-Book
EUR62,49
E-BookEPUB0 - No protectionE-Book
EUR62,49

Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-0-367-63437-7
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
FormatTrade Paperback (USA)
Verlag
Erscheinungsjahr2023
Erscheinungsdatum25.09.2023
Seiten174 Seiten
SpracheEnglisch
MasseBreite 156 mm, Höhe 234 mm, Dicke 10 mm
Gewicht268 g
Artikel-Nr.12119474

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Autor

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.