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
An emerging field of Human-Robot Interaction (HRI) is sonic interaction design, specifically, the use of non-linguistic utterances as a communicative modality. Beyond verbal commands or natural language interfaces, robots can use expressive auditory cues to convey intent, emotion, or feedback. Auditory communication, when designed effectively, can enhance intuitiveness, engagement, and efficiency in HRI.
In this Bachelor's or Master's thesis, we will explore new ways to procedurally generate a sound language in the spirit of R2-D2 and Wall.e. Ideally, the candidate has experience in all or one of the following areas: electronic music creation and sound design, programming, computational linguistics.
Contact: Prof. Kai Arras (kai.arras@ki.uni-stuttgart.de)
Interested?
To start your thesis in the SIR Lab, follow the link and the described procedure!
Ongoing 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
- 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
- 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)
- Annie Bhalla, M.Sc. Thesis, Multi-Spectral Gaussian Splatting for SLAM, SS25. Together with Deutsches Zentrum für Luft- und Raumfahrt (DLR).