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Vision Based Identification and Force Control of Industrial Robots

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Vision Based Identification and Force Control of Industrial Robots Synopsis

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.

About This Edition

ISBN: 9789811669927
Publication date:
Author: Abdullah Aamir Hayat, Shraddha Chaudhary, Riby Abraham Boby, Arun Dayal Udai
Publisher: Springer Verlag, Singapore
Format: Paperback
Pagination: 196 pages
Series: Studies in Systems, Decision and Control
Genres: Robotics
Image processing
Computer vision
Pattern recognition
Artificial intelligence