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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (Hardcover, 2013 ed.) Loot Price: R3,328
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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (Hardcover, 2013 ed.): Jurgen Sturm

Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (Hardcover, 2013 ed.)

Jurgen Sturm

Series: Springer Tracts in Advanced Robotics, 89

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List price R4,399 Loot Price R3,328 Discovery Miles 33 280 | Repayment Terms: R312 pm x 12* You Save R1,071 (24%)

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This book presents techniques that enable mobile manipulation robots to autonomously adapt to new situations. Covers kinematic modeling and learning; self-calibration; tactile sensing and object recognition; imitation learning and programming by demonstration.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Tracts in Advanced Robotics, 89
Release date: May 2013
First published: 2013
Authors: Jurgen Sturm
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover
Pages: 204
Edition: 2013 ed.
ISBN-13: 978-3-642-37159-2
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 3-642-37159-0
Barcode: 9783642371592

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