Publications

ArXiv, 2020
Dynamic tasks like table tennis are relatively easy to learn for humans but pose significant challenges to robots. Such tasks require …

ArXiv, 2019
High-speed and high-acceleration movements are inherently hard to control. Applying learning to the control of such motions on …

RA-L & IROS, 2018
Controlling musculoskeletal systems, especially robots actuated by pneumatic artificial muscles, is a challenging task due to …

Humanoids, 2016
This paper proposes a combined learning framework for a table tennis robot. In a typical robot table tennis setup, a single striking …

ICRA, 2016
Versatile motor skills for hitting and throwing motions can be observed in humans already in early ages. Future robots require high …

NIPS WS Neurorobotics, 2016