Machine learning-based natural scene recognition for mobile robot localization in an unknown environment / / Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes

• Autore: Wang Xiaochun
• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st edition 2020.
• Descrizione fisica: 1 online resource (xxii, 328 pages) : illustrations (some color)
• Disciplina: 006.3
• Soggetto topico: Machine learning; Mobile robots
• Persona (resp. second.): WangXiali; WilkesDon Mitchell
• Nota di contenuto: Part I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning.
• Sommario/riassunto: 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.
• Titolo autorizzato: Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
• ISBN: 981-13-9217-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484164603321
• Lo trovi qui: Univ. Federico II