Automation Technology
Markus Weißflog
Automation Technology 

M.Sc. Markus Weißflog

Portrait: M.Sc. Markus Weißflog
M.Sc. Markus Weißflog
  • Phone:
    +49 371 531-34150
  • Email:
  • Address:
    Reichenhainer Straße 70, 09126 Chemnitz
  • Room:
    C25.125 (prev. 2/W125)

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Research Interests

Hi! I’m a researcher at the Chair of Automation Technology, specializing in robotics, continual learning and visual place recognition. I’m broadly interested in all aspects of robotics and deep learning especially in computer vision and perception. Previously, I earned my bachelor’s and master’s degrees in automation engineering. If you want to contact me, it’s best to write me an email.

Publications

  1. M. Weißflog, S. Schubert, P. Protzel, P. Neubert. (2024) ‘Towards Revisiting Visual Place Recognition for Joining Submaps in Multimap SLAM’. In: Towards Autonomous Robotic Systems. TAROS 2024. Lecture Notes in Computer Science, vol 15051. Springer, Cham.
  2. M. Weißflog, P. Protzel, P. Neubert. (2023) ‘FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification’. In: Intelligent Data Engineering and Automated Learning – IDEAL 2023. IDEAL 2023. Lecture Notes in Computer Science, vol 14404. Springer, Cham.
  3. H. Kisner, M. Weissflog, U. Thomas. (2020) ‘Using a 6D Pose Estimation to Generate Viewpoint Dependent Training Data for Deep Neural Networks’. International Journal of Mechanics and Control (JoMaC)

Teaching

Events

07/2025 - ACM SIGSOFT Summer School for Software Engineering in Robotics, Delft, Netherlands

Me presenting our paper

I attended the ACM SIGSOFT Summer School for Software Engineering in Robotics at Delft University of Technology. The program covered cognitive architectures, task planning, PDDL, model-based system engineering, self-adaptation, verification and validation techniques, and ROS2, with hands-on sessions using the MIRTE platform. Industry insights from Bosch Research complemented the academic content. The experience provided valuable technical knowledge and research connections.

08/2024 - TAROS 2024, London, UK

Me presenting our paper

I'm proud to have presented our latest research on Simultaneous Localization and Mapping (SLAM) at the Towards Autonomous Robotic Systems (TAROS) Conference in London! The paper introduces an innovative approach to merge submaps after tracking loss in SLAM, addressing one of the key challenges in autonomous navigation. To learn more about our paper, check out our project page.

11/2023 - IDEAL 2023, Évora, Portugal

Me presenting our paper

I'm excited to share that I presented our research paper on Continual Learning at the Conference for Intelligent Data Engineering and Automated Learning (IDEAL) in beautiful Évora, Portugal! Our work explores compression approaches in replay based continual learning to enable autonomous systems to continuously minimize catastrophic forgetting. For more details about this research, please visit our project page.

02/2023 - Visiting Fellow at Queensland University of Technology, Brisbane, Australia

Skyline of Brisbane, Australia

I'm exited to announce my recent stay as a Visiting Research Fellow at Queensland University of Technology. During this experience, I engaged in discussions on cutting-edge topics including Visual Place Recognition and Simultaneous Localization and Mapping.

02/2023 - Robotic Vision Summer School, Kioloa, Australia

Landscape of Kioloa, Australia

I'm thrilled to have participated in the Robotic Vision Summer School in the breathtaking coastal town of Kioloa, Australia! I had the incredible opportunity to attend thought-provoking talks by distinguished researchers including Peter Corke and Richard Hartley. The intimate learning environment fostered meaningful discussions and connections with fellow robotics enthusiasts that will undoubtedly shape my future research directions.