Biblio

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Author Keyword [ Title(Desc)] Type Year
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L
J. Viereck, Kozolinsky, J., Herzog, A., and Righetti, L., Learning a Structured Neural Network Policy for a Hopping Task, IEEE Robotics and Automation Letters, vol. 3, pp. 4092–4099, 2018.
J. Silverio, Calinon, S., Rozo, L., and Caldwell, D. G., Learning Task Priorities From Demonstrations, IEEE Transactions on Robotics, pp. 1–17, 2018.
C. Yang, Yuan, K., Merkt, W., Vijayakumar, S., Komura, T., and Li, Z., Learning Whole-body Motor Skills for Humanoids, in Proc. IEEE-RAS International Conference on Humanoid Robots (Humanoids 2018), Beijing, China, 2018.
W. Merkt, Ivan, V., and Vijayakumar, S., Leveraging Precomputation with Problem Encoding for Warm-Starting Trajectory Optimization in Complex Environments, in Proc. IEEE International Conf. on Intelligent Robots (IROS 2018), Madrid, Spain, 2018.
T
B. Ponton, Herzog, A., Del Prete, A., Schaal, S., and Righetti, L., On Time Optimization of Centroidal Momentum Dynamics, in 2018 IEEE International Conference on Robotics and Automation ICRA, 2018.
W
H. Ferrolho, Merkt, W., Yang, Y., Ivan, V., and Vijayakumar, S., Whole-Body End-Pose Planning for Legged Robots on Inclined Support Surfaces in Complex Environments, in Proc. IEEE-RAS International Conference on Humanoid Robots (Humanoids 2018), Beijing, China, 2018.