Vision Based Identification and Force Control of Industrial Robots (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Systems, Decision and Control, 404
Release date:	March 2022
First published:	2022
Authors:	Abdullah Aamir Hayat • Shraddha Chaudhary • Riby Abraham Boby • Arun Dayal Udai • Sumantra Dutta Roy • Subir Kumar Saha • Santanu Chaudhury
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	196
Edition:	1st ed. 2022
ISBN-13:	978-981-16-6989-7
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics Promotions
LSN:	981-16-6989-9
Barcode:	9789811669897

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