| Description |
1 online resource (xxii, 328 pages) : illustrations (some color) |
| Contents |
Part I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Machine learning.
|
|
Mobile robots.
|
|
Machine learning
|
|
Mobile robots
|
| Form |
Electronic book
|
| Author |
Wang, Xiali
|
|
Wilkes, Don Mitchell
|
| ISBN |
9789811392177 |
|
981139217X |
|
