M.Eng. Adam Theo Müller
Research Machine Learning in Autonomous Systems
Contact
G117
Max-Planck-Str. 39
74081
Research
Areas:
- Autonomous Systems (perception, sensor fusion)
- Machine Vision (machine learning in perception)
- Cognitive Robotics
Publications:
Nico Hessenthaler, Adam T. Müller, and Nicolaj C. Stache, "Simplified Cross-Modal Calibration for Heterogeneous Event-EGB Stereo Systems," in 37th British Machine Vision Conference (BMVC), 2026, doi: 10.48550/arXiv.2608.22965
Adam T. Müller, Nico Richter, David T. Hägele, and Nicolaj C. Stache, "On Temporal Consistency in Video Anonymization," in Artificial Intelligence in HCI: 7th International Conference (AI-HCII), 2026 doi: 10.1007/978-3-032-30860-3_10
Mihai Kocsis, Adam T. Müller, Raoul Zöllner, and Nicolaj C. Stache, "Making Autonomous Bus Journeys Enjoyable: Visualizations for Passenger Experience and Acceptance," in HCI International 2026 Posters, 2026, doi: 10.1007/978-3-032-30819-1_13
Chris R. Jung, Markus Dörr, Natalie Jüngling, Jennifer Niessner, Adam T. Müller, and Nicolaj C. Stache, "Drifting Models for Surrogate Flow Modeling," in 2nd International Symposium AI and Fluid Mechanics (AIFluids), 2026, doi: 10.48550/arXiv.2606.07481
- Adam T. Müller, Tobias Rögelein, and Nicolaj C. Stache, "Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning," in IEEE/CVF CVPR, Safe Artificial Intelligence for All Domains (SAIAD), 2026, doi: 10.48550/arXiv.2604.12719
- Adam T. Müller, Mihai Kocsis, and Nicolaj C. Stache, "Generative Anonymization in Event Streams," in IEEE/CVF CVPR, The 1st Workshop on Low-Level Vision Frontiers (LoViF), 2026, doi: 10.48550/arXiv.2604.12803
- Hannes Erlewein, Adam T. Müller, Lukas M. Gerstlauer, Andreas F. Schneider, and Nicolaj C. Stache, "Fusing Stereo Depth and Semantic Segmentation for Efficient 3D Object Detection in Autonomous Driving," in IEEE International Automated Vehicle Validation Conference (IAVVC), 2025, doi: 10.1109/IAVVC61942.2025.11219504
- Frederik Harhammer, Adam T. Müller, Pascal Graf, and Nicolaj C. Stache, "Sim-to-Real Domain Adaptation with Randomized Data for Autonomous Driving," in IEEE International Automated Vehicle Validation Conference (IAVVC), 2025, doi: 10.1109/IAVVC61942.2025.11219640
- Adam T. Müller, Philipp J. Teuffel, Konstantin Manassis, and Nicolaj C. Stache, "Reducing Experimental Testing in Space Propulsion Film Cooling Analyses by Pixelwise Generative Image Interpolation," in 11th European Conference for Aeronautics and Aerospace Sciences (EUCASS), 2025, doi: 10.13009/EUCASS2025-285
- Adam T. Müller, and Nicolaj C. Stache, "Visual Instruction as an Intuitive Interface for Robotic Sorting," in Artificial Intelligence in HCI: 6th International Conference (AI-HCII), 178-194, 2025, doi: 10.1007/978-3-031-93429-2_12
- Christoph David, Adam T. Müller, Moritz Kratt, and Sebastian Vohrer, "Test setup investigations for faster FE-calibration via advanced measurement techniques," in SAMPE Europe Conference, 2022, https://elib.dlr.de/192757/
Patents:
- Stefan Levedag, Adam T. Müller, and Dmytro Zhukov, "Greifvorrichtung mit aufeinander zu bewegbaren Greifarmen und einer Betätigungseinrichtung zum Bewegen der Greifarme," DE 10 2024 113 143 B3 2025.09.04, Owner: Deutsches Zentrum für Luft- und Raumfahrt e.V., 53227 Bonn, DE, File Number DPMA 10 2024 113 143.8, Disclosure 04.09.2025
I am interested in different use cases of machine learning and computer vision. My main research is in the field of Embodied AI. I am involved in the development of machine learning approaches for autonomous systems, mobile robots and cobots.
Before working at Heilbronn University, I had the opportunity to gain experience in various companies and research institutions in the fields of mechatronics, aerospace engineering and machine learning.
I supervise student theses in the subject areas of my research specialisations. You can view possible theses on the ZML website. More current topics can also be requested directly by e-mail to me.
You are welcome to submit your own ideas, but please base your proposal on the advertised topics. The decision as to whether a topic fits in with current research projects/areas of interest may result in us rejecting your proposals.
Requirements
- Requirements of Prof. Dr.-Ing. Nicolaj Stache
- Interest in research in the field of machine learning
- Previous experience in corresponding topics is advantageous
Supervised Projects
- Uncertainty Estimation in Machine Learning for Perception Tasks in Autonomous Driving (T. Rögelein)
- Anonymization of Image Data for Autonomous Driving (D. Hägele, N. Richter)
- Machine Learning enabled IMU Dead Reckoning (M. Rust)
- Creation of a ROS2-based 1:8 traffic light system based on SUMO (D. Friedle, E. Schwarz, F. Weiß, E. Herzfeldt)
- Autonomous 1:8-Car ROS2 integration and Depth-Camera Sensor Fusion for Obstacle Detection (L. Gerstlauer)
- Cobot ROS2 integration and diffusion based sequential motion planning (J. Kurz, R. Walz)
- Integration and VR visualisation of a multi-sensor perception module with Autoware (H. Erlewein)
- Creation of a digital twin for the TechCampus of Heilbronn University in AWSIM (L. Scholl)
- Creation of Colored Point Cloud Maps and 3D Meshes in Blender and Unity (J. Bany)
- Integration of Vehicle and Sensor Models in Autoware Core / Universe (P. Lösch)
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