Inductive Biases in Machine Learning for Robotics and Control

Language: English

Published by Springer, Springer International Publishing Aug 2023, 2023

3031378318 / 9783031378317

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This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.…

Seller Inventory # 9783031378317

Title
Inductive Biases in Machine Learning for Robotics and Control
Author
Michael Lutter
Publisher
Springer, Springer International Publishing Aug 2023
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031378318
ISBN 13
9783031378317
Item weight
377 grams
Dimensions
241x160x14 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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