Open Student Thesis Offers

When writing your thesis at TUM I6, please follow our thesis guidelines. A guide to writing good thesis can be found here. A collection of useful material for research can be found here.

CeCaS: Autonomous driving - Systems and Software Engineering

As part of the research project CeCaS, a group has come up to build a new system architecture for future vehicles
with a focus on autonomous driving.





Reinforcement Learning

There are a few simulation oriented Bachelor and Master thesis in the following topics. If you are interested, feel free to contact us at


Simulation-Based Learning Control for Real-World Robotic Manipulation and Navigation

For more information about other available topics in reinforcement learning, data-driven control and sim2real transfer, please contact Hossein Malmir.

DeepSLAM: Deep Learning based Localization and Mapping (Vision-based Perception and Navigation)

Safe Reinforcement Learning in Single Robot and Multi-Robot Systems

We have several topics about Reinforcement Learning, Robotics,  Autonomous Driving and AI Safety, for more information, please contact Shangding Gu.

Spiking Neural Networks - Next Generation AI for Autonomous Driving

At the KI-ASIC project we are researching about the application of bio-inspired neural networks to real-world applications.

If you are interested in learning about neuroscience and how neuromorphic engineering is trying to narrow the gap between biology an technology, do not hesitate to contact us.



Previous topics:

Safe Reinforcement Learning in Robotics

Currently open positions:

Additionally, we will have open topics in safe reinforcement learning for manipulators and mobile platforms in the future.
If you are interested in these topics, you can contact: jakob (dot) thumm (at)

Modular Robotics

For interest in a BA/MA thesis in machine learning for modular robotics, please contact Jonathan Kuelz or Matthias Mayer.

Currently open:

Machine Learning and Optimization

Safe Reinforcement Learning, Multi-Agent Reinforcement Learning

Reinforcement Learning for Safe and Efficient Combustion Engine Control

Machine Learning Algorithms for Hybrid Vehicle Data

Please see this page for the available topics about 3D Object Detection and Tracking.

Autonomous Robot & Visual Servo & Deep Learning & Robot Design & Medical Robotics

For more information, please visit my homepage Mingchuan Zhou or contact me via email (

OSBORNE (Future Automotive E/E Architectures for Autonomous Cars)

We have a set of open topics in the domain of affective computing and multimodal emotion recognition, within the context of OSBORNE project, for more information please contact Sina.

Collaboration with Chair for Product Development and Lightweight Design

Low-level vision

For more information, please visit my homepage (Yuning Cui) or contact me via email (