By Jürgen Sturm
This publication provides ideas that permit cellular manipulation robots to autonomously adapt to new events. Covers kinematic modeling and studying; self-calibration; tactile sensing and item popularity; imitation studying and programming by means of demonstration.
Read Online or Download Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (Springer Tracts in Advanced Robotics) PDF
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