André Schamschurko

André Schamschurko is a Researcher at the Technical University of Munich's Chair of Robotics, Artificial Intelligence, and Real-time Systems, having joined in July 2024. His work bridges artificial intelligence and autonomous systems development, with a focus on practical applications in robotics and real-time computing environments.

He earned a Diploma in Computer Science from TU Dresden, specializing in Natural Language Processing and Symbolic AI during his academic training. This foundational expertise shapes his current research trajectory in cognitive systems and AI-driven solutions.

His research concentrates on Natural Language Processing, Symbolic AI, Autonomous Driving, and Large Language Models, with particular emphasis on leveraging LLMs for safety-critical validation in autonomous vehicle systems. This includes developing novel testing frameworks that generate complex driving scenarios through language model interactions.

His publication on LLM-driven testing demonstrates a clear research trend toward integrating language models with robotics for enhanced scenario validation, reflecting broader industry movements toward AI-assisted development in autonomous systems. This work addresses critical gaps in safety verification for self-driving technologies.

As part of Prof. Alois Knoll's research team, he contributes to the Chair's mission of advancing real-time AI systems, robotics perception, and computational intelligence. The group maintains strong industry partnerships focused on autonomous vehicle development and validation frameworks.

Current teaching responsibilities include assisting in 'Cognitive Systems' and 'Advanced Foundation and Perception Models in Autonomous Driving' courses, though no student advisement or grant information is publicly documented.