Prof. Dr. Patrick van der Smagt

Research focus: Machine learning and robotics research

Keywords: Machine learning, probabilistic inference, neural Networks, Robotics

Graduated GSN students: Dr. Grady Jensen

Selected publications:

Flownet: Learning optical flow with convolutional networks (2015) A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, P van der Smagt, ... Proceedings of the IEEE International Conference on Computer Vision, 2758-2766

Reach and grasp by people with tetraplegia using a neurally controlled robotic arm (2012) LR Hochberg, D Bacher, B Jarosiewicz, NY Masse, JD Simeral, J Vogel, P van der Smagt Nature 485 (7398), 372-375

Deep variational bayes filters: Unsupervised learning of state space models from raw data (2017) M Karl, M Soelch, J Bayer, P van der Smagt arXiv preprint arXiv:1605.06432

On the role of the action space in robot manipulation learning and sim-to-real transfer (2024) E Aljalbout, F Frank, M Karl, P van der Smagt IEEE Robotics and Automation Letters

Human short-latency reflexes show precise short-term gain adaptation after prior motion (2024) P Stratmann, A Schmidt, H Höppner, P van der Smagt, T Meindl, ... Journal of Neurophysiology 132 (6), 1680-1692