Open Thesis Topics
Master Thesis
Contact: Dennis Rotondi (dennis.rotondi@ki.uni-stuttgart.de)
Motivation:
3D Scene Graphs are gaining significant attention in the robotics
community due to their hierarchically structured representation.
However, performing loop closures and localization semantically
within these graphs remains a challenging problem
Problem Description:
The goal is to identify specific portions of the graph given
visual or textual inputs by leveraging its hierarchical and
multimodal structure for precise spatial understanding and
localization
Keywords:
Multimodality, Deep Learning, 3D Scene Graphs
Master Thesis
Contact: Fabio Scaparro (fabio.scaparro@ki.uni-stuttgart.de)
Motivation:
Implicit reconstruction is used in other sensor modalities (NERFs,
Gaussian Splats for RGB and RGB-D). Straightforward application
of those algorithms may not be suitable for online, real-time SLAM,
because of high computational costs and lack of elasticity. Also,
LiDAR applications have not been explored as much as cameras.
Problem Description:
The goal is to implement or adapt a 3D LiDAR SLAM pipeline that
works real time with implicit mapping and conduct qualitative
experiments on real data.
Keywords:
3D LiDAR SLAM, NeRFs, Neural Point Fields,
Gaussian Splatting
Interested?
To start your thesis in the SIR Lab, follow the link and the described procedure!
Ongoing Theses
- Salma Tarek Soliman, B.Sc. Thesis, Cognitive Modeling for Context-Aware Human Robot Interaction, SS26
- Stefan Müller, B.Sc. Thesis, Perception and Analysis of Humans for Expressive Interactive Robots, WS25/26
- Timo Huettner, M.Sc. Thesis, Kinematically Plausible Robot Morphologies Using Generative AI, WS25/26
- Hanna Rebecca Riesch, M.Sc. Thesis, Parametric Environments: Learning Structured Models for Robotic Vision, WS25/26
Completed Theses
- Johannes Zipfel, M.Sc. Thesis, Autonomous Quadruped Manipulation through Vision-Language Action Models, WS25/26
- Shaolong Shi, M.Sc. Thesis, Structured 3D Understanding via Neural Point Cloud Models, SS25
- Annie Bhalla, M.Sc. Thesis, Multi-Spectral Gaussian Splatting for SLAM, SS25. Together with Deutsches Zentrum für Luft- und Raumfahrt (DLR)
- Arne Bartenbach, Designing Robot Appearances Using Generative AI, Master's Thesis, WS 2024/2025 (resulted in publication at IEEE RO-MAN 2025)
- Ashwin Murali, Intelligent Scene Understanding from Object Detection in Industrial Environments, Master's Thesis, WS 2024/2025
- Chinmay Nadgouda, Open-set 3D Scene Graph generation with fine-grained scene understanding, Master's Thesis, WS 2024/2025 (resulted in publication at CVPR-W 2025)