Description: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Jurgen Sturm Format: Paperback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642437144, 978-3642437144 Synopsis 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.
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Book Title: Approaches to Probabilistic Model Learning for Mobile Manipula...
Item Height: 235 mm
Item Width: 155 mm
Series: Springer Tracts in Advanced Robotics
Author: Jurgen Sturm
Publication Name: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
Format: Paperback
Language: English
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Subject: Engineering & Technology, Computer Science
Publication Year: 2015
Type: Textbook
Item Weight: 3577 g
Number of Pages: 204 Pages
