Open Student Thesis Offers

We pursue a wide range of research directions related to safe decision making, motion planning and control for autonomous vehicles, involving formal methods, sampling-based and optimization-based methods, and deep learning-based methods.

Contact: Gerald Würsching, Florian Finkeldei, Yuanfei Lin, Tobias Mascetta, Eivind Meyer, Florian Lercher, Di Liu, Sebastian Mair.

Topics:

• [MT/BT/GR/ST] Robustness-guided Falsification of Autonomous Vehicles
• [BT/GR/ST] Automatic Labeling of Traffic Scenarios
• [BA/SA] Evaluating Trajectories with Criticality Measures and Robustness Metrics for Autonomous Driving

Contact: Jonathan Kuelz, Matthias Mayer, Chencheng Tang.

• [MA/SA/BA] Efficient Path Planning for Modular Robots
• [MA/SA/BA] Solving Real-world Robotics Tasks within 3D Scans
• [MA] Robot Control for Modular Industrial Robots (ROBCO)
• [MA] Model Building for Modular Industrial Robots (ROBCO)
• [MA] Automatic Robot Productivity Supervision and Prediction (ROBCO)

Contact: Jakob Thumm, Hannah Markgraf, Philipp Gassert, Jonathan Külz.

We are currently not offering any topics in this area.

Additionally, we will have open topics in safe reinforcement learning for manipulators and mobile platforms in the future.

Contact: Philipp Gassert, Michael Eichelbeck, Jakob Thumm

Topics:

• [MA] Out-of-Distribution Detection of Large Neural Networks for Safe and Efficient Human-Robot Collaboration

Contact: Tobias Ladner, Laura Lützow, Lukas Koller.

Topics:

• [BA/MA] Data-driven Identification of Uncertainty Sets for Autonomous Systems
• [MA] Ensuring Safety of Large-Scale Structures
• [MA] Exploiting Mixed-Monotonicity in Reachability Analysis