This book constitutes the thoroughly refereed post-workshop proceedings of the 8th European Workshop on Learning Robots, EWLR'99, held in Lausanne, Switzerland in September 1999. The seven revised full workshop papers presented were carefully reviewed and selected for inclusion in the book. Also included are two invited full papers. Among the topics addressed are map building for robot navigation, multi-task reinforcement learning, neural network approaches, example-based learning, situated agents, planning maps for mobile robots, path finding, autonomous robots, and biologically inspired approaches.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book constitutes the thoroughly refereed post-workshop proceedings of the 8th European Workshop on Learning Robots, EWLR'99, held in Lausanne, Switzerland in September 1999. The seven revised full workshop papers presented were carefully reviewed and selected for inclusion in the book. Also included are two invited full papers. Among the topics addressed are map building for robot navigation, multi-task reinforcement learning, neural network approaches, example-based learning, situated agents, planning maps for mobile robots, path finding, autonomous robots, and biologically inspired approaches.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Hamelyn, Madrid, M, Espagne
Etat : Aceptable. : Este libro recopila las actas del 8º Taller Europeo sobre Robots de Aprendizaje, EWLR-8, celebrado en Lausana, Suiza, en septiembre de 1999. Cubre temas como el aprendizaje automático, la robótica, los sistemas de control, la automatización y la inteligencia artificial, centrándose en robots autónomos, aprendizaje algorítmico y navegación robótica. Este libro es una valiosa fuente de información para investigadores y profesionales interesados en los últimos avances en el campo del aprendizaje robótico. EAN: 9783540411628 Tipo: Libros Categoría: Tecnología Título: Advances in Robot Learning Autor: Jeremy Wyatt| John Demiris Editorial: Springer Idioma: en Páginas: 180 Formato: tapa blanda. N° de réf. du vendeur Happ-2025-08-06-b1387687
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Robot learning is an exciting and interdisciplinary eld. This state is re ected in the range and form of the papers presented here. Techniques that have - come well established in robot learning are present: evolutionary methods, neural networkapproaches, reinforcement learning; as are techniques from control t- ory, logic programming, and Bayesian statistics. It is notalbe that in many of the papers presented in this volume several of these techniques are employed in conjunction. In papers by Nehmzow, Grossmann and Quoy neural networks are utilised to provide landmark-based representations of the environment, but di erent techniques are used in each paper to make inferences based on these representations. Biology continues to provide inspiration for the robot learning researcher. In their paper Peter Eggenberger et al. borrow ideas about the role of n- romodulators in switching neural circuits, These are combined with standard techniques from arti cial neural networks and evolutionary computing to p- vide a powerful new algorithm for evolving robot controllers. In the nal paper in this volume Bianco and Cassinis combine observations about the navigation behaviour of insects with techniques from control theory to produce their visual landmarklearning system. Hopefully this convergence of engineering and biol- ical approaches will continue. A rigourous understanding of the ways techniques from these very di erent disciplines can be fused is an important challenge if progress is to continue. Al these papers are also testament to the utility of using robots to study intelligence and adaptive behaviour. 180 pp. Englisch. N° de réf. du vendeur 9783540411628
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 1st edition. 164 pages. 9.50x6.50x0.50 inches. In Stock. N° de réf. du vendeur x-3540411623
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Vendeur : moluna, Greven, Allemagne
Etat : New. N° de réf. du vendeur 4889129
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Map Building through Self-Organisation for Robot Navigation.- Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning.- Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically-Rearranging Neural Network Approach.- How Does a Robot Find Redundancy by Itself .- Learning Robot Control by Relational Concept Induction with Iteratively Collected Examples.- Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions.- A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment.- Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots.- Biologically-Inspired Visual Landmark Learning for Mobile Robots.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 180 pp. Englisch. N° de réf. du vendeur 9783540411628
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