Master Thesis Student (m/f/d) - Physical AI with Vision Language Action (VLA) Models in Robotics
Company Description
As an automotive supplier, DENSO is leading in developing and providing components and systems for heating, air conditioning, motor cooling, exhaust gas aftertreatment, automotive electrics and electronics and instrumentation.
Job Description
Modern Vision Language Action (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.
For such VLA-based physical AI systems, the project aims to evaluate and quantify a robot’s action‑generation capability of a physical AI VLA model for more challenging, unstructured environments, and to develop a clearer understanding how these contribute to more stable and capable long‑horizon action generation.
Research Areas
- Survey state-of-the-art VLA models and world-model approaches;
- Implement and benchmark physical variants using a VLA framework;
- Develop simulation-based setups for model evaluation in challenging scenarios;
- Explore and validate improved integration strategies based on the findings (if feasible);
- Identify and design task-specific fine-tuning strategies to improve model performance (if feasible).
Qualifications
- Cu
