Mobile robots : the evolutionary approach
The design and control of autonomous intelligent mobile robotic systems operating in unstructured changing environments includes many objective difficulties. There are several studies about the ways in which, robots exhibiting some degree of autonomy, adapt themselves to fit in their environments. T...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2007. |
| Serier: | Studies in Computational Intelligence
50 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Mobile robots, the evolutionary approach, Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle (eds.), Berlin, Springer, 2007, 1 vol. (XX-222 p.), Studies in computational intelligence, 3-540-49719-6 • Mobile Robots: The Evolutionary Approach, Texte imprimé, 9783642080630 • Mobile Robots: The Evolutionary Approach, Texte imprimé, 9783540833352 • Mobile robots, the evolutionary approach, Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle (eds.), Berlin, Springer, 2007, 1 vol. (XX-222 p.), Studies in computational intelligence, 3-540-49719-6 |
Indholdsfortegnelse:
- Evolutionary Mobile Robots Differential Evolution Approach Using Chaotic Sequences Applied to Planning of Mobile Robot in a Static Environment with Obstacles Evolving Modular Robots for Rough Terrain Exploration Evolutionary Navigation of Autonomous Robots Under Varying Terrain Conditions Aggregate Selection in Evolutionary Robotics Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots Learning Mobile Robots Reinforcement Learning for Autonomous Robotic Fish Module-based Autonomous Learning for Mobile Robots A Hybrid Adaptive Architecture for Mobile Robots Based on Reactive Behaviours Collaborative Robots for Infrastructure Security Applications Imitation Learning: An Application in a Micro Robot Soccer Game