Recent Advances in Robot Learning: Machine Learning: 368 - Rilegato

Rilegato

ISBN 10: 0792397452 ISBN 13: 9780792397458

Casa editrice: Springer-Verlag GmbH, 1996

Riassunto

This work contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. These characteristics of robotics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution.

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Contenuti

Machine Learning.- Real-World Robotics: Learning, to Plan for Robust Execution.- Robot Programming by Demonstration (RPD): Supporting the Induction by Human Interaction.- Performance Improvement of Robot Continuous-Path Operation through Iterative Learning Using Neural Networks.- Learning Controllers for Industrial Robots.- Active Learning for Vision-Based Robot Grasping.- Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning.- Learning Concepts from Sensor Data of a Mobile Robot.

Product Description

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Dettagli dell'edizione

• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 1996
• Lingua: Inglese
• ISBN 10: 0792397452
• ISBN 13: 9780792397458
• Rilegatura: Copertina rigida
• Numero edizione: 2
• Numero di pagine: 218
• Redattore: Franklin Judy A., Mitchell Tom M., Thrun Sebastian
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania