Bio-Inspired Self-Organizing Robotic Systems

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Meng, Yan (Επιμελητής έκδοσης), Jin, Yaochu (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: Studies in Computational Intelligence, 355
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.