Dr. Michael Krawez

Postdoctoral Researcher

Department Computer Science & Artificial Intelligence
Artificial Intelligence and Robotics Lab

Research Interests

  • Foundation Models in robotics
  • Spatial perception and reasoning
  • Localization and navigation in dynamic environments

 

Curriculum Vitae

Education

2015 – 2022 Doctor of Science in robotics, University of Freiburg
2012 – 2015 M.Sc. in Computer Science, University of Göttingen
2009 – 2012 B.Sc. in Computer Science, University of Koblenz-Landau

 

Academic positions

2022 – today Postdoctoral researcher, University of Technology Nuremberg
2015 – 2022 Doctoral research assistant, University of Freiburg
2012 Student assistant, University of Koblenz-Landau

 

Service in academic positions

2023 – 2024 Elected member of the Founding Steering Board of UTN

 

Teaching

2023 – today Alternate teacher in course “Introduction to Mobile Robotics”, UTN
2023 – 2024 Alternate teacher in course “Introduction to Artificial Intelligence”, UTN
2022 – 2024 Co-lecturer “Introduction to Mobile Robotics”, Technical University of Munich
2022 – 2023 Teaching assistant and course design “Mobile Robotics Prototype Course”, UTN
2016 – 2020 Teaching assistant in course “Introduction to Artificial Intelligence”, University of Freiburg
2015 – 2019 Co-organizer seminar “Robot Navigation”, University of Freiburg

 

Selected Publications

  • Blei, Y., Krawez, M., Jülg, T., Krack, P., Walter, F., & Burgard, W. (2025). LLM-Pack: Intuitive grocery handling for logistics applications. arXiv Preprint, arXiv:2503.08445. DOI 10.48550/arXiv.2503.08445
  • Gode, S., Nayak, A., Oliveira, D. N. P., Krawez, M., Schmid, C., & Burgard, W. (2024). FlowNav: Combining flow matching and depth priors for efficient navigation. arXiv Preprint, arXiv:2411.09524. DOI 10.48550/arXiv.2411.09524
  • Blei, Y., Krawez, M., Nilavadi, N., Kaiser, T. K., & Burgard, W. (2024). CloudTrack: Scalable UAV tracking with cloud semantics. arXiv preprint arXiv:2409.16111. DOI 10.48550/arXiv.2409.16111
  • Mirjalili, R., Krawez, M., Walter, F., & Burgard, W. (2024). VLM-Vac: Enhancing smart vacuums through VLM knowledge distillation and language-guided experience replay. arXiv Preprint arXiv:2409.14096. DOI 10.48550/arXiv.2409.14096
  • Mirjalili, R., Krawez, M., Silenzi, S., Blei, Y., & Burgard, W. (2024). Lan-grasp: Using large language models for semantic object grasping. arXiv Preprint arXiv:2310.05239. DOI 10.48550/arXiv.2310.05239
  • Mirjalili, R., Krawez, M., & Burgard, W. (2023). Lan-grasp: Using large language models for semantic object grasping. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). DOI 10.1109/IROS55552.2023.10342439
  • Krawez, M., Caselitz, T., Sundram, J., Van Loock, M., & Burgard, W. (2021). Real-time outdoor illumination estimation for camera tracking in indoor environments. IEEE Robotics and Automation Letters. DOI 10.1109/LRA.2021.3090455
  • Caselitz, T., Krawez, M., Sundram, J., Van Loock, M., & Burgard, W. (2020). Camera tracking in lighting adaptable maps of indoor environments. In IEEE International Conference on Robotics and Automation (ICRA). DOI 10.1109/ICRA40945.2020.9197471
  • Krawez, M., Caselitz, T., Büscher, D., Van Loock, M., & Burgard, W. (2018). Building dense reflectance maps of indoor environments using an RGB-D camera. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). DOI 10.1109/IROS.2018.8594107

 

All Publications