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Robotic intelligent assembly

Xu, Jing.

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Robotic intelligent assembly

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robotic intelligent assembly/ by Jing Xu ... [et al.].
other author:	Xu, Jing.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xvi, 233 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Model based strategies -- Implementation -- Learning based strategies theoretical Analysis -- Learning based Implementation -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Robots, Industrial. -
Online resource:	https://doi.org/10.1007/978-981-96-2657-1
ISBN:	9789819626571

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

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

571285
Robots, Industrial.

LC Class. No.: TS191.8

Dewey Class. No.: 670.4272

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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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