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...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Ausgabe: | 1st ed. 2011. |
| Schriftenreihe: | Studies in Computational Intelligence
355 |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bio-inspired self-organizing robotic systems, Yan Meng and Yaochu Jin (eds.), Berlin, Springer-Verlag, 2011, 1 vol. (X- 273 p.), Studies in computational intelligence, 978-3-642-20759-4 • Bio-inspired self-organizing robotic systems, Yan Meng and Yaochu Jin (eds.), Berlin, Springer-Verlag, 2011, 1 vol. (X- 273 p.), Studies in computational intelligence, 978-3-642-20759-4 • Bio-Inspired Self-Organizing Robotic Systems, Texte imprimé, 9783642207617 • Bio-Inspired Self-Organizing Robotic Systems, Texte imprimé, 9783662506646 |