Bio-Inspired Self-Organizing Robotic Systems

• Corporate Author: SpringerLink (Online service)
• Other Authors: Meng, Yan (Editor), Jin, Yaochu (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Studies in Computational Intelligence, 355
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Robotics.; Automation.; Computational Intelligence.; Robotics and Automation.; Artificial Intelligence (incl. Robotics).

Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments.  Compared with...

Table of Contents:

• Part I:  Self-Organizing Swarm Robotic Systems  
•   Part II: Self-Reconfigurable Modular Robots  
•   Part III: Autonomous Mental Development in Robotic Systems  
•   Part IV:  Special Applications   Part III: Autonomous Mental Development in Robotic Systems  
•   Part IV:  Special Applications.