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...
| Other Authors: | Meng, Yan, Jin, Yaochu, 1966-, SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Heidelberg :
Springer,
©2011.
Berlin ; Heidelberg : [2011] |
| Physical Description: |
1 online resource (x, 273 pages) : illustrations. |
| Series: |
Studies in computational intelligence ;
355. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |