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. | Approaches To Probabilistic Model Learning For Mobile Manipulation Robots by Jürgen Sturm, Paperback | Indigo Chapters