Bio-Inspired Self-Organizing Robotic Systems

Bio-Inspired Self-Organizing Robotic Systems edited by Yan Meng, Yaochu Jin.

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...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Meng, Yan (Editor), Jin, Yaochu (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Studies in Computational Intelligence, 355
Springer eBook Collection.
Subjects:
Computational intelligence.
Robotics.
Automation.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Login for hold information

‌

Click to view e-book

Online

Holdings details from Online
Call Number: E-Book
Status: Available

Similar Items