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...
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| Autor principal: | |
|---|---|
| Altres autors: | , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2007. |
| Col·lecció: | Studies in Computational Intelligence
50 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
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| 100 | 1 | |a Coelho, Leandro dos Santos. | |
| 245 | 1 | 0 | |a Mobile robots : |b the evolutionary approach |c edited by Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle. |
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| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. The application and use of bio-inspired and intelligent techniques such as reinforcement learning, artificial neural networks, evolutionary computation and so forth in the design and improvement of robot designs is an emergent research topic. Researchers have obtained robots that display an amazing slew of behaviours and perform a multitude of tasks. These include perception of environment, planning and navigation in rough terrain, pushing boxes, negotiating an obstacle course, etc. In this context, mobile robots designed using evolutionary computation approaches, usually known as Mobile Evolutionary Robotics, have experienced significant development in the last decade. The fundamental goal of mobile evolutionary robotics is to apply evolutionary computation methods to automate the production of complex behavioural robotic controllers. This volume offers a wide spectrum of sample works developed in leading research throughout the world about evolutionary mobile robotics and demonstrates the success of the technique in evolving efficient and capable mobile robots | ||
| 700 | 1 | |a Nedjah, Nadia. |4 pbd | |
| 700 | 1 | |a Coelho, Leandro dos Santos. |4 pbd | |
| 700 | 1 | |a Mourelle, Luiza de Macedo. |4 pbd | |
| 776 | 0 | |0 151677115 |t Mobile robots |o the evolutionary approach |f Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle (eds.) |c Berlin |n Springer |d 2007 |p 1 vol. (XX-222 p.) |s Studies in computational intelligence |z 3-540-49719-6 | |
| 776 | 0 | |t Mobile Robots: The Evolutionary Approach |b Texte imprimé |z 9783642080630 | |
| 776 | 0 | |t Mobile Robots: The Evolutionary Approach |b Texte imprimé |z 9783540833352 | |
| 776 | 0 | |0 151677115 |t Mobile robots |o the evolutionary approach |f Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle (eds.) |c Berlin |n Springer |d 2007 |p 1 vol. (XX-222 p.) |s Studies in computational intelligence |z 3-540-49719-6 | |
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