Advances in Robot Learning: 8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings
Author:   Jeremy Wyatt ,  John Demiris
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2000 ed.
Volume:   1812
ISBN:  

9783540411628


Pages:   172
Publication Date:   11 October 2000
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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


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Overview

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.

Full Product Details

Author:   Jeremy Wyatt ,  John Demiris
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2000 ed.
Volume:   1812
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.30cm
Weight:   0.454kg
ISBN:  

9783540411628


ISBN 10:   3540411623
Pages:   172
Publication Date:   11 October 2000
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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.

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