Multiagent Robotic Systems Contributor(s): Liu, Jiming (Author), Wu, Jianbing (Author) |
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ISBN: 084932288X ISBN-13: 9780849322884 Publisher: CRC Press OUR PRICE: $209.00 Product Type: Hardcover Published: May 2001 Annotation: Multiagent Robotic Systems addresses learning and adaptation in decentralized autonomous robots. It provides a guided tour of the pioneering work and major technical issues in multiagent robotics research. 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 authors also include 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. |
Additional Information |
BISAC Categories: - Technology & Engineering | Robotics - Technology & Engineering | Automation - Technology & Engineering | Electrical |
Dewey: 629.8 |
LCCN: 01025397 |
Series: International Series on Computational Intelligence |
Physical Information: 0.98" H x 6.26" W x 9.7" (1.42 lbs) 328 pages |
Descriptions, Reviews, Etc. |
Publisher 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. 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. |