Bio-Inspired Self-Organizing Robotic Systems
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...
Saved in:
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
|
| Edition: | 1st ed. 2011. |
| Series: | Studies in Computational Intelligence,
355 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-642-20760-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|