Toward Learning Robots (Special Issue of Robotics and Automous Agents)

ISBN 10: 0262720175 / ISBN 13: 9780262720175

Published by Bradford Book, 1993

About this Item

Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.

Seller Inventory # mon0000010852

Bibliographic Details

• Title: Toward Learning Robots (Special Issue of Robotics and Automous Agents)
• Publisher: Bradford Book
• Publication Date: 1993
• Language: English
• ISBN 10: 0262720175
• ISBN 13: 9780262720175
• Binding: paperback
• Condition: Very Good

About this title

Synopsis

The contributions in Toward Learning Robots address the question of how a robot can be designed to acquire autonomously whatever it needs to realize adequate behavior in a complex environment. In-depth discussions of issues, techniques, and experiments in machine learning focus on improving ease of programming and enhancing robustness in unpredictable and changing environments, given limitations of time and resources available to researchers. The authors show practical progress toward a useful set of abstractions and techniques to describe and automate various aspects of learning in autonomous systems. The close interaction of such a system with the world reveals opportunities for new architectures and learning scenarios and for grounding symbolic representations, though such thorny problems as noise, choice of language, abstraction level of representation, and operationality have to be faced head-on.

Contents
Introduction: Toward Learning Robots • Learning Reliable Manipulation Strategies without Initial Physical Models • Learning by an Autonomous Agent in the Pushing Domain • A Cost-Sensitive Machine Learning Method for the Approach and Recognize Task • A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations • Understanding Object Motion: Recognition, Learning and Spatiotemporal Reasoning • Learning How to Plan • Robo-Soar: An Integration of External Interaction, Planning, and Learning Using Soar • Foundations of Learning in Autonomous Agents • Prior Knowledge and Autonomous Learning

About the Author

Walter Van de Velde is Research Assistant in the Artificial Intelligence Laboratory of the Vrije Universiteit, Brussels, Belgium.