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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots

Download or Read eBook Approaches to Probabilistic Model Learning for Mobile Manipulation Robots PDF written by Jürgen Sturm and published by Springer. This book was released on 2013-12-12 with total page 216 pages. Available in PDF, EPUB and Kindle.
Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
Author :
Publisher : Springer
Total Pages : 216
Release :
ISBN-10 : 9783642371608
ISBN-13 : 3642371604
Rating : 4/5 (08 Downloads)

Book Synopsis Approaches to Probabilistic Model Learning for Mobile Manipulation Robots by : Jürgen Sturm

Book excerpt: 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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