Robot Learning by Demonstration with Local Gaussian Process Regression. In Proc. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipeh, Taiwan, 2010. Learning from Demonstration using a Katana robotic manipulator. Objects' positions were recorded before demonstrations and reproduction, respectively. Note that in each demonstration the objects' positions change. In the reproduction, the manipulator's trajectory is computed based on the constraints extracted from the recorded demonstrations.