Multiagent Robotic Systems

Jianbing Wu, Jiming Liu

304 pages, parution le 01/09/2001

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Résumé

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:oWhy and how to develop and experimentally test the computational mechanisms for learning and evolving sensory-motor control behaviors in autonomous robotsoHow to design and develop evolutionary algorithm-based group behavioral learning mechanisms for the optimal emergence of group behaviorsoHow to enable group robots to converge to a finite number of desirable task states through group learningoWhat are the effects of the local learning mechanisms on the emergent global behaviorsoHow to use decentralized, self-organizing autonomous robots to perform cooperative tasks in an unknown environmentEarlier 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.

Contents

Motivation, Approaches, and Outstanding Issues
Why Multiple Robots?
Towards Cooperative Control
Approaches
Models and Techniques
Outstanding Issues
Case Studies in Learning
Multiagent Reinforcement Learning: Techniques
Multiagent Reinforcement Learning Results
Multiagent Reniforcement Learning: What Matters
Evolutionary Multiagent Reinforcement Learning
Case Studies in Adaptation
Coordinated Maneuvers in a Dual-Agent System
Collective Behavior
Case Studies in Self-Organization
Multiagent Self-Organization
Evolutionary Multiagent Self-Organization
An Exploration Tool
Toolboxes for Multiagent Robotics
Index

L'auteur - Jiming Liu

Baptist University, Hong Kong, China

Caractéristiques techniques

	PAPIER
Éditeur(s)	Chapman and Hall / CRC
Auteur(s)	Jianbing Wu, Jiming Liu
Parution	01/09/2001
Nb. de pages	304
Format	16 x 24
Couverture	Relié
Poids	641g
Intérieur	Noir et Blanc
EAN13	9780849322884
ISBN13	978-0-8493-2288-4