Dr. Cornelia Schulz

Background

2017 - 2020
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, Localization, SLAM
  • Multi-Robot Systems

Projects

  • NDT-Mapping - Combining NDT and occupancy probabilities for robust 2D and 3D mapping.
  • MuSe-SMC - An abstract framework for Sequential Monte Carlo methods for state estimation and tracking.

Posters

  • Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication
    Cornelia Schulz, Richard Hanten, Matthias Reisenauer, Andreas Zell
    Poster Session I, IRC, Naples, Italy, February 2019
  • Multi-Sensor Integration for Sequential Monte Carlo Methods
    Richard Hanten, Cornelia Schulz, Andreas Zell
    Late Breaking Results, IROS, Madrid, Spain, October 2018

Competitions

  • SICK robot day 2018 with Team Attempto

Teaching

Theses

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

Publications

[1] Cornelia Schulz and Andreas Zell. "Real-Time Graph-Based SLAM with Occupancy Normal Distributions Transforms". In 2020 IEEE International Conference on Robotics and Automation (ICRA), pages 3106–3111, Paris, France, 2020. [DOI]
[2] Cornelia Schulz, Richard Hanten, Matthias Reisenauer, and Andreas Zell. "Collaborative Mapping with Pose Uncertainties using different Radio Frequencies and Communication Modules". In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 8209–8214, Macau, China, November 2019. [DOI]
[3] Richard Hanten, Cornelia Schulz, Adrian Zwiener, and Andreas Zell. "MuSe: Multi-Sensor Integration Strategies Applied to Sequential Monte Carlo Methods". In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7798–7804, Macau, China, November 2019. [DOI]
[4] Adrian Zwiener, Richard Hanten, Cornelia Schulz, and Andreas Zell. "ARMCL: ARM Contact point Localization via Monte Carlo Localization". In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7105–7111, Macau, China, November 2019. [DOI]
[5] Cornelia Schulz and Andreas Zell. "Sub-Pixel Resolution Techniques for Ray Casting in Low-Resolution Occupancy Grid Maps". In European Conference on Mobile Robots (ECMR), pages 1–6, Prague, Czech Republic, September 2019. [DOI]
[6] Cornelia Schulz, Richard Hanten, Matthias Reisenauer, and Andreas Zell. "Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication". In 2019 Third IEEE International Conference on Robotic Computing (IRC), pages 413–414, Naples, Italy, February 2019. [DOI]
[7] 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. [DOI]

ResearchGate profile 

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