Markus joined MRG in 2014 as a DPhil student and is a member of New College. The focus of Markus’ research at MRG is based on the application of learning from demonstration methods to the domain of off-road navigation and planning.
He completed his M.Sc. in Mechatronical Engineering at the Leibniz University of Hannover, Germany, in 2013. While spending most of his studies in Germany, Markus spent semesters abroad in Boston and Zurich. At the Robotics Mobility Group of MIT, Markus worked on terra-mechanics, investigating the interaction between wheel and soil. His research at the Agile & Dexterous Robotics Lab of ETH focused on GPU based dynamics calculations for articulated robots.
As part of his studies, he furthermore worked as an intern at Continental AG on control concepts for electronic air suspension system of high and middle class passenger cars.
Markus’ private interests are focused on climbing, traveling, photography and occasionally playing the guitar.
- [PDF] M. Wulfmeier, P. Ondruska and I. Posner “Maximum Entropy Deep Inverse Reinforcement Learning”, NIPS Deep Reinforcement Learning Workshop, Montreal, Canada, 2015
- [PDF] Q. Wang, M. Wulfmeier and B. Wagner, “Voronoi-based Heuristic for Nonholomic Search-based Path Planning”, The 13th International Conference on Intelligent Autonomous Systems (IAS), Padova, Italy, 2014.
- [PDF] C. Senatore, M. Wulfmeier, I. Vlahinic, J. Andrade and K. Iagnemma, “Design and Implementation of a Particle Image Velocimetry Method for Analysis of Running Gear-Soil Interaction”, Journal of Terramechanics, vol. 50, iss. 5–6, Pages 311-326, 2013.
- [PDF] C. Senatore, M. Wulfmeier, P. Jayakumar, J. Maclennan and K. Iagnemma, “Investigation of Stress and Failure in Granular Soils For Lightweight Robotic Vehicle Applications”, Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium, Best conference paper award, 2012.