Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (2013)Paperback - 2013, 20 June 2015

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.