Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment

Don Mitchell Wilkes, Xiali Wang, Xiaochun Wang, et al.

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

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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Schlagwörter

Prefrontal Cortex Working Memory System, Autonomous Mobile Robot Localization, Natural Scene Recognition in An Unknown Environment, Hippocampal Configural Represenations, Computer Vision and Machine Perception, Machine Learning Methodologies