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Vision Based Identification and Force Control of Industrial Robots (2022)

Contributor(s): Hayat, Abdullah Aamir (Author), Chaudhary, Shraddha (Author), Boby, Riby Abraham (Author), Udai, Arun Dayal (Author), Dutta Roy, Sumantra (Author), Saha, Subir Kumar (Author), Chaudhury, Santanu (Author)

ISBN: 9789811669927

Publisher: Springer

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Pub Date: March 23, 2023

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.46" H x 9.21" L x 6.14" W ( 0.69 lbs) 196 pages

Series: Studies in Systems, Decision and Control

Descriptions, Reviews, etc.

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.

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