Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	August 2020
First published:	2020
Authors:	Xiaochun Wang • Xiali Wang • Don Mitchell Wilkes
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	328
Edition:	1st ed. 2020
ISBN-13:	978-981-13-9219-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics Promotions
LSN:	981-13-9219-6
Barcode:	9789811392191

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