Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
Format: Print Book
ISBN: 9783642437144
Tax included.
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.
Publication Year: 2013
Imprint: Springer Berlin Heidelberg
Format: P
Weight (Gram): 3577