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 by Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes - First edition - 1 recurso en línea (XXII, 328 páginas) 99 ilustraciones, 78 ilustraciones a color - Intelligent Technologies and Robotics (Springer-42732) .
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.
9789811392177
10.1007/978-981-13-9217-7 doi
Aprendizaje automático
Robots móviles
Reconocimiento de formas
Q325.5 / 2020 EB
Machine learning-based natural scene recognition for mobile robot localization in an unknown environment by Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes - First edition - 1 recurso en línea (XXII, 328 páginas) 99 ilustraciones, 78 ilustraciones a color - Intelligent Technologies and Robotics (Springer-42732) .
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.
9789811392177
10.1007/978-981-13-9217-7 doi
Aprendizaje automático
Robots móviles
Reconocimiento de formas
Q325.5 / 2020 EB