Vision Based Identification and Force Control of Industrial Robots

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Vision Based Identification and Force Control of Industrial Robots

Mechanical engineering Electronics engineering Automatic control engineering Artificial intelligence Pattern recognition Computer vision

Authors: Abdullah Aamir Hayat, Shraddha Chaudhary, Riby Abraham Boby, Arun Dayal Udai, Sumantra Dutta Roy, Subir Kumar Saha, Santanu Chaudhury

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Collection: Studies in Systems, Decision and Control

Language: English

Published by: Springer

Published on: 21st March 2022

Format: LCP-protected ePub

Size: 50 Mb

ISBN: 9789811669903


Overview

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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