Machine Learning for Robotics

Name: Machine Learning for Robotics
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783639021103
Price: 22703 HUF
Availability: InStock

Learning Methods for Robot Motor Skills

Szerző: Jan Peters

Nyelv:

Kötés: Puha kötésű

Kiadó: VDM Verlag Dr. Mueller E.K.

Elérhetőség: Beszállítói készleten

Küldés 9-15 napon belül

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Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...

Információk a könyvről

Szerző

Jan Peters

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2008

oldal

128

EAN

9783639021103

ISBN

363902110X

Enbook ID

06811981

Kiadó

VDM Verlag Dr. Mueller E.K.

Súly

181

Méretek

152 x 229 x 7

Teljes leírás

Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. An important step towards this goal is to create robots that can learn to accomplish amultitude of different tasks triggered by environmental context and higher-level instruction. Early approaches to this goal during the heydays of artificial intelligence research in the late 1980s showed that handcrafted approaches do not suffice and that machine learning is needed. However, off the shelf learning techniques often do not scale into real-time or to the high-dimensional domains of manipulator and humanoid robotics. In this book, we investigate the foundations for a general approach to motor skilllearning that employs domain-specific machine learning methods. A theoretically well-founded general approach to representing the required control structures for task representation and executionis presented along with novel learning algorithms that can be applied in this setting. The resulting framework is shown to work well both in simulation and on real robots.

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Machine Learning for Robotics

Learning Methods for Robot Motor Skills

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