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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteur principal: Coelho, Leandro dos Santos (Directeur de la publication)
Autres auteurs: Nedjah, Nadia (Directeur de la publication), Mourelle, Luiza de Macedo (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2007.
Collection:Studies in Computational Intelligence 50
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: 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
Description
Résumé: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
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540497202
ISSN:1860-9503
Accès:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017