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Record Nr. |
UNINA9911003595503321 |
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Autore |
Xu Jing |
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Titolo |
Robotic Intelligent Assembly / / by Jing Xu, Hao Su, Rui Chen, Zhimin Hou |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XVI, 233 p. 146 illus., 133 illus. in color.) |
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Collana |
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Research on Intelligent Manufacturing, , 2523-3394 |
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Disciplina |
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Soggetti |
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Mechatronics |
Electronic circuits |
Energy harvesting |
Multibody systems |
Vibration |
Mechanics, Applied |
Electronic Circuits and Systems |
Energy Harvesting |
Multibody Systems and Mechanical Vibrations |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Model based strategies -- Implementation -- Learning based strategies theoretical Analysis -- Learning based Implementation -- Conclusion. |
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Sommario/riassunto |
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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 |
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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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