Cornelia Schulz


Since October 2017
Research assistant at the Department of Cognitive Systems, University of Tübingen

2014 - 2017
Master of Science in Computer Science at the University of Tübingen

2011 - 2014
Bachelor of Science in Computer Science at the University of Tübingen

Research Interests

  • Mobile Robots
  • Mapping and Localization
  • Multi-Robot Systems


  • NDT-Mapping - Robust and real-time capable mapping of 2D and 3D data, combining NDT and occupancy probabilities.
  • MuSe-SMC - An abstract framework for Sequential Monte Carlo methods for state estimation and tracking.



  • 4th place in SICK robot day 2018 with Team Attempto


Fast 3D Outdoor SLAM for Robots at High Speeds
Master's thesis, University of Tübingen, August 2017

Panoramic Image Rectangling Using Content-Aware Warping
Bachelor's thesis, University of Tübingen, August 2014


[1] Cornelia Schulz, Richard Hanten, Matthias Reisenauer, and Andreas Zell. Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication. In IEEE International Conference on Robotic Computing (IRC), Naples, Italy, February 2019. (Accepted for publication).
[2] Cornelia Schulz, Richard Hanten, and Andreas Zell. Efficient Map Representations for Multi-Dimensional Normal Distributions Transforms. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2679--2686, Madrid, Spain, October 2018.

ResearchGate profile