Dr Rudolph Triebel
Rudolph works on three-dimensional perception algorithms for mobile robots. In particular, this includes tasks such as map representation, scene analysis and object detection and recognition. He investigates machine learning techniques and probabilistic reasoning methods that are suited to achieve these tasks on mobile robots such as the pedestrian assistant EUROPA or the autonomous car of the Mobile Robotics Group named 'Wildcat'.
Before joining MRG, Rudolph received his PhD? at the University of Freiburg in Germany in the Autonomous Intelligent Systems Group of Prof. Wolfram Burgard. Then, he worked as a postdoctoral researcher in the Autonomous Systems Lab of ETH Zurich with Prof Roland Siegwart.
Most Recent Publications (full list here)
Journal Papers
- L.Spinello, R. Triebel, R. Siegwart, "Multiclass Multimodal Detection and Tracking in Urban Environments", in: International Journal of Robotics Research, 2010
Conference Papers
- R. Triebel, R. Paul, D. Rus, P. Newman, "Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates", in: Robotics Track of AAAI Conference on Artificial Intelligence 2012 (to appear)
- J. Shin, R. Triebel, R. Siegwart, "Unsupervised 3D Object Discovery and Categorization for Mobile Robots", in: Proc. of the International Symposium on Robotics Research (ISRR) 2011
- J. Maye, R. Triebel, L. Spinello, R. Siegwart, "Bayesian On-line Learning of Driving Behaviors", in: Proc. of the International Conference on Robotics and Automation (ICRA) 2011
- R. Triebel, J. Shin, R. Siegwart, "Segmentation and Unsupervised Part-based Discovery of Repetitive Objects", in: Robotics: Science and Systems, 2010
- L. Spinello, K. O. Arras, R. Triebel, R. Siegwart, "A Layered Approach to People Detection in 3D Range Data" in special track on Physically Grounded AI of AAAI 2010