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.
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.
Text filling a void in the literature on the important issues on obtaining the robot behaviors necessary for them to navigate in a spatially unknown environment. Emphasizes recent pioneering work in this area, with case studies, implementation details, graphs and examples. DLC: Robots--Control systems.