jeremy wyatt john demiris (5 Ergebnisse)

Zustand: 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.

Zustand: New. pp. 180 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Paperback. Zustand: Brand New. 1st edition. 164 pages. 9.50x6.50x0.50 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.