Research Focus

This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition.

Chapter Highlights

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;
• The application of this present understanding to improve mobile robot localization.

Additional Perspectives

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.