Robotic Intelligent Assembly / by Jing Xu, Hao Su, Rui Chen, Zhimin Hou

Von:

Xu, Jing [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Research on Intelligent ManufacturingVerlag: Singapore : Springer Nature Singapore, 2025Verlag: Singapore : Imprint: Springer, 2025Auflage: 1st ed. 2025Beschreibung: 1 Online-Ressource(XVI, 233 p. 146 illus., 133 illus. in color.)ISBN:

9789819626571

Schlagwörter:

629.8 23

DOI: DOI: 10.1007/978-981-96-2657-1Online-Ressourcen:

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Zusammenfassung: Introduction -- Model based strategies -- Implementation -- Learning based strategies theoretical Analysis -- Learning based Implementation -- Conclusion.Zusammenfassung: 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.PPN: PPN: 192669855XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT

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