Advances in Robot Learning

Name: Advances in Robot Learning
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540411628
Price: 19184 HUF
Availability: InStock

8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings

Szerző: Jeremy Wyatt, John Demiris

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

19 184 Ft

Robot learning is an exciting and interdisciplinary ?eld. This state is re?ected in the range and fo...

Információk a könyvről

Szerző

Jeremy Wyatt, John Demiris

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2000

oldal

172

EAN

9783540411628

ISBN

3540411623

Enbook ID

02710665

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

314

Méretek

155 x 233 x 11

Teljes leírás

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.

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Advances in Robot Learning

8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták