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Vision based identification and force control of industrial robots

Record Type:	Electronic resources : Monograph/item
Title/Author:	Vision based identification and force control of industrial robotsby Abdullah Aamir Hayat ... [et al.].
other author:	Hayat, Abdullah Aamir.
Published:	Singapore :Springer Singapore :2022.
Description:	xxi, 196 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Robots, Industrial.
Online resource:	https://doi.org/10.1007/978-981-16-6990-3
ISBN:	9789811669903$q(electronic bk.)

Vision based identification and force control of industrial robots
Vision based identification and force control of industrial robots[electronic resource] /by Abdullah Aamir Hayat ... [et al.]. - Singapore :Springer Singapore :2022. - xxi, 196 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 4042198-4190 ;. - Studies in systems, decision and control ;v.3..

Introduction -- Vision System and Calibration -- Uncertainty and Sensitivity Analysis -- Identiﬁcation -- Force Control and Assembly -- Integrated Assembly and Performance Evaluation -- Conclusion -- Vision and Uncertainty Analysis -- Robot Jacobian -- Code Snippets and Experimental Videos.

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.

ISBN: 9789811669903$q(electronic bk.)

Standard No.: 10.1007/978-981-16-6990-3doiSubjects--Topical Terms:

267734
Robots, Industrial.

LC Class. No.: TS191.8

Dewey Class. No.: 670.4272

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505 0 $a Introduction -- Vision System and Calibration -- Uncertainty and Sensitivity Analysis -- Identiﬁcation -- Force Control and Assembly -- Integrated Assembly and Performance Evaluation -- Conclusion -- Vision and Uncertainty Analysis -- Robot Jacobian -- Code Snippets and Experimental Videos.
520 $a 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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650 2 4 $a Control and Systems Theory. $3 825946
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