PhD/MSc/BSc Thesis
Open Topic
We offer MS and BS thesis topics for students with a strong interest in robotics who are already enrolled at TU Berlin. In addition to our fixed list of topics, we offer customized topics based on mutual interest and technical background. Our highest priorities are that students learn new technical and theoretical skills and enjoy their time working on the thesis. Good mentoring takes time (we meet with our students at least one hour per week); we therefore can only mentor a few students.
If you are interested in working with us, please contact Wolfgang Hönig with a motivation letter. In your letter, please describe why you are interested, your technical background, and potential projects of interest (if any). If you need an inspiration, you can find examples of past thesis on our publications and thesis pages. For us, your enthusiasm for the research area and a desire to participate in a research lab is of utmost importance. We are a highly interdisciplinary and diverse team and we explicitly encourage applications from underrepresented groups.
Current Thesis Supervision
Georg Wolnik
08/2026 - now
Comparison of Control Strategies for Interaction-Force Aware Multirotor Teams
Florian Rutsch
04/2026 - now
Active Learning for Tuning Controller Parameters
Erik Schlenzka
03/2026 - now
Analyzing monocular event-based visual-inertial odometry on small Flying robots
Past Thesis
- Mathieu Siegenthaler, 05/2025 - 11/2025 , , Kinodynamic Multi-Robot Traveling Salesman Problems with Applications to Ocean Cleanup
- Hendrik Berg, 03/2025 - 09/2025 , , Motion Planning and Control for Fully Submerged Hydrofoil Vessels
- Viktor Lorentz, 01/2025 - 07/2025 , , Reinforcement Learning for Collaborative Transport of Cable Suspended Payloads with Multiple Multirotors
- Max Klemens, 12/2024 - 06/2025 , , Learning Multirotor Vision-to-Action Control Policies via Imitation Learning
- Leon Thormeyer, 11/2024 - 06/2025 , , Decentralized Control Policy with Imitation Learning for Multiple Multirotors Transporting Cable Suspended Payloads
- Tobias Jung, 08/2024 - 01/2025 , , Software-in-the-loop Simulation for Crazyflie Multirotor Teams
- Dennis Schmidt, 06/2024 - 01/2025 , , Development of an uncertainty-aware Motion Planner combining Branch MPC with Machine Learning
- Julius Franke, 05/2024 - 11/2024 , , Motion Primitive Selection for Kinodynamic Motion Planning
- Eckart Ferdinand Cobo Briesewitz, 05/2024 - 10/2024 , , Learning-based Multirotor Control Enhancements
- Christoph Scherer, 02/2024 - 09/2024 , , Learning Residual Physics Distributions of Multirotors with Cable-Suspended Payloads
- Christian Hickstein, 11/2023 - 03/2024 , , Hardware-in-the-loop Simulation for Crazyflie Multirotors
- Theo Valentin Kern, 05/2023 - 11/2023 , , Long-Horizon Planning of Multirotor Teams for Construction Assembly
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Keerthana Laxmish,
04/2023 - 10/2023 ,
, Learning-Based Relative State Estimation for Ultralow-Power Multirotor Teams
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Alexander Weingart,
02/2023 - 08/2023 ,
, Enhancing Sampling Based Kinodynamic Motion Planning with Reinforcement Learning Policies
[ ] - Maika Krüger, 01/2023 - 08/2023 , , Safety-Guided Multi-Robot Motion Planning with Applications to Robotic Assisted Surgery using Monte-Carlo Tree Search
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Jana Schicke,
11/2022 - 03/2023 ,
, Learning-based Multirotor System Model Enhancements
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Welf Rehberg,
04/2022 - 11/2022 ,
, K-Order Markov Optimization and Sequential Convex Programming for Multirotor Motion Planning
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