Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
| Author | : Jürgen Sturm |
| Publisher | : Springer |
| Total Pages | : 216 |
| Release | : 2013-12-12 |
| ISBN-10 | : 9783642371608 |
| ISBN-13 | : 3642371604 |
| Rating | : 4/5 (604 Downloads) |
Book Synopsis Approaches to Probabilistic Model Learning for Mobile Manipulation Robots by : Jürgen Sturm
Download or read book Approaches to Probabilistic Model Learning for Mobile Manipulation Robots 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. 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.