Diplomarbeiten, Bachelor- und Masterarbeiten
Sie suchen gerade eine Diplomarbeit, ein Thema für eine Bachelor oder Master Thesis? Dann sind Sie hier richtig. In diesem Bereich sind Abschlussarbeiten aus allen Fakultäten zu finden.
Beachten Sie auch den entsprechenden Stichwortindex.
Wenn Sie selbst eine Diplomarbeit ausschreiben wollen, lesen Sie bitte vorher unbedingt das 'Best Practice Manual Stellenanzeigen'.
05.10.2026
Efficient Vision Language Action (VLA) Models for Autonomous Driving
MS Thesis on VLA for autonomous driving in collaboration with DENSO Automotive
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Kontakt: christian.prehofer@tum.de
05.10.2026
Master's Thesis: Infrastructure Support for Black-Box End-to-End Autonomous Driving – Strategies, Scenarios and Benchmarking
The Chair of Robotics, Artificial Intelligence and Real-Time Systems offers a thesis on supporting vehicle end-to-end (E2E) driving systems with roadside infrastructure perception. The vehicle's driving function is treated as a closed black box. The thesis identifies the situations in which infrastructure knowledge improves driving safety and the integration strategies through which it can do so without access to the model's internals.
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Kontakt: erik-leo.hass@tum.de
30.09.2026
Master’s theses: LLM/VLM-assisted PCB design with KiCad and related EDA tools
We are offering Master’s theses focused on integrating Large Language Models (LLMs) and Vision-Language Models (VLMs) into PCB design workflows using KiCad. The goal is to develop AI agents that automate repetitive engineering tasks, such as datasheet analysis, component placement, and layout validation. Ideal candidates should have strong programming skills (Python/C++), a basic understanding of electronics, and ideally, a background in machine learning.
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Kontakt: andre.schamschurko@tum.de
28.09.2026
Physical AI with Vision Language Action (VLA) Models in Robotics
Modern VLA models perform well on short‑horizon robotic tasks but often struggle with long‑term planning and multi‑step control. A promising direction is to enhance VLA architectures by integrating them with Physical AI models capable of understanding physical effects, e.g. for challenging, unstructured environments.
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Kontakt: christian.prehofer@tum.de
25.09.2026
Student Thesis: Robot Learning from Demonstration - Designing the Data Collection Hardware
Redesign and build a demonstration device for robot learning from demonstration, taking it from an existing CAD model to a working prototype using CAD and 3D printing. Depending on progress, the device will be used to collect demonstrations and train robot learning models such as VLAs.
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Kontakt: valdrin.aslani@tum.de
25.09.2026
MA: Language-motion models for 3D human motion generation, captioning and prediction
Start: immediately
The MSc Thesis is offered at the Chair of Perception for Intelligent Systems, headed by Prof. Achim J. Lilienthal. We will investigate the capabilities of language-motion models to generate and describe motion in specialized environments.
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Kontakt: andrey.rudenko@tum.de
24.09.2026
Bachelor and Master Theses in Eye Tracking, Shared Attention and Mixed Reality (Winter Semester 2026/27)
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Kontakt: j.grootjen@tum.de
22.09.2026
Trendanalyse: Die Zukunft der Baustoffe
Systematische Identifikation und Strukturierung zukünftiger Entwicklungen auf Basis nachvollziehbarer Quellen. Einordnung der Trends in die aktuelle Baustoff- und Materialforschung sowie Erstellung einer Stakeholdermatrix. Ableitung einer Grundlage für eine strukturierte Expertenbefragung.
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Kontakt: e.jaegle@tum.de
21.09.2026
(BA/MA) Different Topics for Literature Review in the Field of Mixed Reality
Novel and relevant technologies are emerging in the field of Mixed Reality (MR). Examples are, Large Language Model-driven agents, or rendering techniques such as Gaussian Splatting. On top of that, security and cybersecurity topics are gaining in importance. In literature reviews, a new perspective on the usage of technologies, comparisons to established ones, and future use cases can lead to a better understanding how the role of MR shifts.
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Kontakt: christian.eichhorn@tum.de
14.09.2026
Open Position for Master’s Thesis at Plant-Insect Interactions Chair: Assessing Fitness Parameters in Reed-Nesting Solitary Bees
Nutritional stress caused by limited access to suitable floral resources is considered a major driver of bee pollinator decline. However, it is still unclear how land-use intensity affects the diversity and quality of floral resources and, in turn, the fitness of wild bees. Therefore, we investigate fitness-related traits and the nesting biology of cavity-nesting wild bees along a land-use gradient.
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Kontakt: annalena.becker@tum.de


