
- 328 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Multiagent Robotic Systems
About this book
Providing a guided tour of the pioneering work and major technical issues, Multiagent Robotic Systems addresses learning and adaptation in decentralized autonomous robots. Its systematic examination demonstrates the interrelationships between the autonomy of individual robots and the emerged global behavior properties of a group performing a cooperative task. The author also includes descriptions of the essential building blocks of the architecture of autonomous mobile robots with respect to their requirement on local behavioral conditioning and group behavioral evolution.
After reading this book you will be able to fully appreciate the strengths and usefulness of various approaches in the development and application of multiagent robotic systems. It covers:
Earlier works have focused primarily on how to navigate in a spatially unknown environment, given certain predefined motion behaviors. What is missing, however, is an in-depth look at the important issues on how to effectively obtain such behaviors in group robots and how to enable behavioral learning and adaptation at the group level. Multiagent Robotic Systems examines the key methodological issues and gives you an understanding of the underlying computational models and techniques for multiagent systems.
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Information
Table of contents
- Cover Page
- The CRC Press International Series on Computational Intelligence
- Title Page
- Copyright Page
- Preface
- Acknowledgements
- Other Credits
- Contents
- Dedication Page
- Part I: Motivation, Approaches, and Outstanding Issues
- Part II: Case Studies in Learning
- Part III: Case Studies in Adaptation
- Part IV: Case Studies in Self-Organization
- Part V: An Exploration Tool
- References