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Generalizing Movements with Information-Theoretic Stochastic Optimal Control.

, , , and . J. Aerosp. Inf. Syst., 11 (9): 579-595 (2014)

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Model-driven behavior specification for robotic teams., , and . AAMAS, page 171-178. IFAAMAS, (2012)A Force-Distance Model of Humanoid Arm Withdrawal Reflexes., and . TAROS, volume 7429 of Lecture Notes in Computer Science, page 13-24. Springer, (2012)Generalizing Movements with Information-Theoretic Stochastic Optimal Control., , , and . J. Aerosp. Inf. Syst., 11 (9): 579-595 (2014)ORC - A Lightweight, Lightning-Fast Middleware., , and . IRC, page 337-343. IEEE, (2019)Probabilistic model-based imitation learning., , , and . Adaptive Behaviour, 21 (5): 388-403 (2013)Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives., , , , , and . Front. Robotics and AI, (2017)Deep spiking networks for model-based planning in humanoids., , , and . Humanoids, page 656-661. IEEE, (2016)Probabilistic movement primitives under unknown system dynamics., , , and . Adv. Robotics, 32 (6): 297-310 (2018)Sample-based informationl-theoretic stochastic optimal control., , , and . ICRA, page 3896-3902. IEEE, (2014)Model-based imitation learning by probabilistic trajectory matching., , , and . ICRA, page 1922-1927. IEEE, (2013)