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Robotic intelligent assembly

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robotic intelligent assemblyby Jing Xu ... [et al.].
other author:	Xu, Jing.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvi, 233 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Robots, Industrial.
Online resource:	https://doi.org/10.1007/978-981-96-2657-1
ISBN:	9789819626571$q(electronic bk.)

Robotic intelligent assembly
Robotic intelligent assembly[electronic resource] /by Jing Xu ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvi, 233 p. :ill. (some col.), digital ;24 cm. - Research on intelligent manufacturing,2523-3394. - Research on intelligent manufacturing..

Introduction -- Model based strategies -- Implementation -- Learning based strategies theoretical Analysis -- Learning based Implementation -- Conclusion.

This book explores peg-in-hole assembly strategies to study robotic intelligent assembly. It presents several state-of-the-art principles for peg-in-hole assembly strategies, supported by experimental evidence. In pursuit of theoretical innovation, the author summarizes their research on robotic intelligent assembly over the past decade, highlighting the limitations of model-based algorithms in complex assembly environments and the importance of data efficiency for learning-based algorithms. Each algorithm is supported by extensive experimentation and results demonstrating its effectiveness. A review of research ideas provides readers with a comprehensive understanding of the progress made in this field. This monograph is intended for undergraduate and postgraduate students interested in robotic intelligent assembly, researchers studying robotic intelligent assembly algorithms, and electronic, mechanical, and computer engineers engaged in industrial robot-assisted assembly.

ISBN: 9789819626571$q(electronic bk.)

Standard No.: 10.1007/978-981-96-2657-1doiSubjects--Topical Terms:

267734
Robots, Industrial.

LC Class. No.: TS191.8

Dewey Class. No.: 670.4272

Robotic intelligent assembly
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505 0 $a Introduction -- Model based strategies -- Implementation -- Learning based strategies theoretical Analysis -- Learning based Implementation -- Conclusion.
520 $a This book explores peg-in-hole assembly strategies to study robotic intelligent assembly. It presents several state-of-the-art principles for peg-in-hole assembly strategies, supported by experimental evidence. In pursuit of theoretical innovation, the author summarizes their research on robotic intelligent assembly over the past decade, highlighting the limitations of model-based algorithms in complex assembly environments and the importance of data efficiency for learning-based algorithms. Each algorithm is supported by extensive experimentation and results demonstrating its effectiveness. A review of research ideas provides readers with a comprehensive understanding of the progress made in this field. This monograph is intended for undergraduate and postgraduate students interested in robotic intelligent assembly, researchers studying robotic intelligent assembly algorithms, and electronic, mechanical, and computer engineers engaged in industrial robot-assisted assembly.
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