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Record Nr. |
UNINA9910484164603321 |
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Autore |
Wang Xiaochun |
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Titolo |
Machine learning-based natural scene recognition for mobile robot localization in an unknown environment / / Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st edition 2020.] |
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Descrizione fisica |
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1 online resource (xxii, 328 pages) : illustrations (some color) |
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Disciplina |
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Soggetti |
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Machine learning |
Mobile robots |
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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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Part I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning. |
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Sommario/riassunto |
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This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research. |
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