Vision-Based Robot Navigation: Quest for Intelligent Approaches Using a Sparse Distributed Memory

Front Cover
Starting with a summary of the history of Artificial Intelligence, this book makes the bridge to the modern debate on the definition of Intelligence and the path to building Intelligent Machines. Since the definition of Intelligence is itself subject to open debate, the quest for Intelligent machines is pursuing a moving target. Apparently, intelligent behaviour is, to a great extent, the result of using a sophisticated associative memory, more than the result of heavy processing. The book describes theories on how the brain works, associative memory models and how a particular model - the Sparse Distributed Memory (SDM) - can be used to navigate a robot based on visual memories. Other robot navigation methods are also comprehensively revised and compared to the method proposed. The performance of the SDM-based robot has been tested in different typical problems, such as illumination changes, occlusions and image noise, taking the SDM to the limits. The results are extensively discussed in the book.
 

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Contents

The Quest for Artificial Intelligence
1
Intelligence and the Brain
13
Robots Localisation and Navigation
65
Vision and MemoryBased Robot Navigation
91
Data EncodingIssues
127
Memory Performance
145
Navigation Using View Sequences
177
Conclusions
193
A CrossModal Comparison
201
Acronyms and Symbols
209
List of Tables
215
Sparse Distributed Memory
217
Copyright

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