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Learning movement primitive libraries through probabilistic segmentation.

, , , and . Int. J. Robotics Res., 36 (8): 879-894 (2017)

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Guiding Trajectory Optimization by Demonstrated Distributions., , , , , and . IEEE Robotics Autom. Lett., 2 (2): 819-826 (2017)Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot., , , and . IAS, volume 302 of Advances in Intelligent Systems and Computing, page 1601-1611. Springer, (2014)Self-Supervised Online Reward Shaping in Sparse-Reward Environments., , , , and . IROS, page 2369-2375. IEEE, (2021)Sample-based informationl-theoretic stochastic optimal control., , , and . ICRA, page 3896-3902. IEEE, (2014)Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations., , , , , , and . CoRR, (2024)Probabilistic Prioritization of Movement Primitives., , , and . IEEE Robotics Autom. Lett., 2 (4): 2294-2301 (2017)Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks., , , , , and . Auton. Robots, 41 (3): 593-612 (2017)Generalizing Movements with Information-Theoretic Stochastic Optimal Control., , , and . J. Aerosp. Inf. Syst., 11 (9): 579-595 (2014)Demonstration based trajectory optimization for generalizable robot motions., , , , and . Humanoids, page 515-522. IEEE, (2016)Phase estimation for fast action recognition and trajectory generation in human-robot collaboration., , , , and . Int. J. Robotics Res., 36 (13-14): 1579-1594 (2017)