
Multiagent Robotic Systems
CRC Press
1st Edition
Will be published approx. on 30. May 2001
Book
Hardback
328 pages
978-0-8493-2288-4 (ISBN)
Description
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:
Why and how to develop and experimentally test the computational mechanisms for learning and evolving sensory-motor control behaviors in autonomous robots
How to design and develop evolutionary algorithm-based group behavioral learning mechanisms for the optimal emergence of group behaviors
How to enable group robots to converge to a finite number of desirable task states through group learning
What are the effects of the local learning mechanisms on the emergent global behaviors
How to use decentralized, self-organizing autonomous robots to perform cooperative tasks in an unknown environment
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.
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:
Why and how to develop and experimentally test the computational mechanisms for learning and evolving sensory-motor control behaviors in autonomous robots
How to design and develop evolutionary algorithm-based group behavioral learning mechanisms for the optimal emergence of group behaviors
How to enable group robots to converge to a finite number of desirable task states through group learning
What are the effects of the local learning mechanisms on the emergent global behaviors
How to use decentralized, self-organizing autonomous robots to perform cooperative tasks in an unknown environment
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.
Reviews / Votes
"Liu and Wu describe the major developments and technical issues related to learning, adaptation, and self-organization in multiagent robotic systems ... the list of references is comprehensive ... A good resource for researchers on robotic systems, which may serve as a course resource for graduate students."-CHOICE
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professional
Illustrations
100 s/w Abbildungen, 22 s/w Tabellen
22 Tables, black and white; 100 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
640 gr
ISBN-13
978-0-8493-2288-4 (9780849322884)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Jiming Liu | Jianbing Wu
Multiagent Robotic Systems
E-Book
10/2018
CRC Press
€250.99
Available for download

Jiming Liu | Jianbing Wu
Multiagent Robotic Systems
E-Book
10/2018
1st Edition
CRC Press
€251.99
Available for download
Persons
Jiming Liu
Author
Hong Kong Baptist University, Kowloon Tong, Hong Kong
Kaytronics Inc., Burnaby, British Columbia, Canada
Content
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 Reinforcement 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.