Improving Local Trajectory Optimisation using Probabilistic Movement Primitives

Shyam, R. A.; Lightbody, P.; Das, G.; Liu, P.; Gomez-Gonzales, S.; Neumann, G.

doi:10.1109/IROS40897.2019.8967980

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Improving Local Trajectory Optimisation using Probabilistic Movement Primitives

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Gomez-Gonzales, S.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Shyam, R. A., Lightbody, P., Das, G., Liu, P., Gomez-Gonzales, S., & Neumann, G. (2019). Improving Local Trajectory Optimisation using Probabilistic Movement Primitives. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) (pp. 2666-2671). Piscataway, NJ: IEEE. doi:10.1109/IROS40897.2019.8967980.

Cite as: https://hdl.handle.net/21.11116/0000-0006-D7B2-E

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