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Machine learning-based natural scene...

Wang, Xiaochun.

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Machine learning-based natural scene recognition for mobile robot localization in an unknown environment

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning-based natural scene recognition for mobile robot localization in an unknown environment/ by Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes.
作者:	Wang, Xiaochun.
其他作者:	Wang, Xiali.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xxii, 328 p. :ill. (some col.), digital ;24 cm.
內容註:	Part I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning.
Contained By:	Springer eBooks
標題:	Mobile robots. -
電子資源:	https://doi.org/10.1007/978-981-13-9217-7
ISBN:	9789811392177

Machine learning-based natural scene recognition for mobile robot localization in an unknown environment
Wang, Xiaochun.

Machine learning-based natural scene recognition for mobile robot localization in an unknown environment[electronic resource] /by Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes. - Singapore :Springer Singapore :2020. - xxii, 328 p. :ill. (some col.), digital ;24 cm.

Part I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning.

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.

ISBN: 9789811392177

Standard No.: 10.1007/978-981-13-9217-7doiSubjects--Topical Terms:

697579
Mobile robots.

LC Class. No.: Q325.5

Dewey Class. No.: 629.892

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