is a research assistant with the German Aerospace Center (DLR) Institute of Robotics and Mechatronics and a Ph.D. student in Prof. Udo Frese's Real-Time Computer Vision Group.
René Wagner studied computer science in Bremen and, through the EU Erasmus Programme, in Cardiff. He received his degree in computer science (Diplom-Informatiker) from University of Bremen in January 2010. His thesis (Diplomarbeit) focused on repeating the Grand Challenge experiment on a smaller scale with a robotic vehicle based on an R/C car autonomously traversing an accordingly down-scaled “race track” consisting of a network of sidewalks or paths in a public park.
René Wagner has also actively contributed to a variety of open source projects in the embedded and handheld computing space including but not limited to LCDproc, GPE, Familiar, and OpenEmbedded. More information on the latter activities can be found here on René's personal home page.
- Probabilistic Robotics
- 3D Mapping
- Driverless Cars
- Formal Specification of Software, and Automated Proving/Reasoning
- Mobile Computing and User Interfaces
Planning with self-acquired 3D environment maps on DLR's humanoid robot Agile Justin
MTK provides easy mechanisms to enable arbitrary sensor fusion algorithms to operate on manifolds. The main application is the use of 3D rotations SO(3), as well as the construction of compound manifolds from arbitrary combinations of sub-manifolds. MTK includes a refactored version of Christoph Hertzberg's SLoM (Sparse Least-Squares on Manifolds) framework and René's UKFoM, an Unscented Kalman filter modified to operate on manifold states and measurements.