Vision Based Identification and Force Control of Industrial Robots

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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2022-03-21

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Description

This book focuses on end-to-end robotic applications using vision and control algorithms, exposing its readers to design innovative solutions towards sensors-guided robotic bin-picking and assembly in an unstructured environment. The use of sensor fusion is demonstrated through a bin-picking task of texture-less cylindrical objects. The system identification techniques are also discussed for obtaining precise kinematic and dynamic parameters of an industrial robot which facilitates the control schemes to perform pick-and-place tasks autonomously without any interference from the user. The uniqueness of this book lies in a judicious balance between theory and technology within the context of industrial application. Therefore, it will be valuable to researchers working in the area of vision- and force control- based robotics, as well as beginners in this inter-disciplinary area, as it deals with the basics and technologically advanced research strategies.
Pages
196 pages
Collection
Studies in Systems, Decision and Control
Parution
2022-03-21
Marque
Springer
EAN papier
9789811669897
EAN PDF
9789811669903

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
8735 Ko
Prix
147,69 €
EAN EPUB
9789811669903

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
51354 Ko
Prix
147,69 €