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Compact models of motor primitive variations for predictable reaching and obstacle avoidance., , , , and . Humanoids, page 589-595. IEEE, (2009)Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares., , , , , , , , , and 1 other author(s). NIPS, page 1361-1368. (2005)Learning locomotion over rough terrain using terrain templates., , , and . IROS, page 167-172. IEEE, (2009)Fast Learning of Biomimetic Oculomotor Control with Nonparametric Regression Networks., and . ICRA, page 3847-3854. IEEE, (2000)Memory-Based Robot Learning., and . ICRA, page 2928-2933. IEEE Computer Society, (1994)Warping the workspace geometry with electric potentials for motion optimization of manipulation tasks., , and . IROS, page 3156-3163. IEEE, (2016)Efficient Learning and Feature Selection in High-Dimensional Regression., , , and . Neural Computation, 22 (4): 831-886 (2010)Probabilistic Depth Image Registration incorporating Nonvisual Information., , , , and . CoRR, (2015)On the Fundamental Importance of Gauss-Newton in Motion Optimization., , , and . CoRR, (2016)Learning Operational Space Control., and . Robotics: Science and Systems, The MIT Press, (2006)