Inductive Biases in Machine Learning for Robotics and Control

Language: English

Published by Springer, Berlin, Springer Nature Switzerland, Springer Aug 2024, 2024

3031378342 / 9783031378348

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -One important robotics problem is 'How can one program a robot to perform a task' Classical robotics solves this problem by manually engineering modules for state estimation, planning, and control. In contrast, robot learning solely relies on black-box models and data. This book shows that these two approaches of classical engineering and black-box machine learning are not mutually exclusive. To solve tasks with robots, one can transfer insights from classical robotics to deep networks and obtain better learning algorithms for robotics and control. To highlight that incorporating existing knowledge as inductive biases in machine learning algorithms improves performance, this book covers different approaches for learning dynamics models and learning robust control policies. The presented algorithms leverage the knowledge of Newtonian Mechanics, Lagrangian Mechanics as well as the Hamilton-Jacobi-Isaacs differential equation as inductive bias and are evaluated on physical robots. 119 pp. Englisch.…

Seller Inventory # 9783031378348

Title
Inductive Biases in Machine Learning for Robotics and Control
Author
Michael Lutter
Publisher
Springer, Berlin, Springer Nature Switzerland, Springer Aug 2024
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031378342
ISBN 13
9783031378348
Dimensions
235x155x35 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

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