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Robotic intelligent assembly

Xu, Jing.

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Robotic intelligent assembly

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Robotic intelligent assembly/ by Jing Xu ... [et al.].
其他作者:	Xu, Jing.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xvi, 233 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Model based strategies -- Implementation -- Learning based strategies theoretical Analysis -- Learning based Implementation -- Conclusion.
Contained By:	Springer Nature eBook
標題:	Robots, Industrial. -
電子資源:	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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