Jonathan Külz

Jonathan Külz is a Researcher at the Technical University of Munich (TUM), affiliated with the Department of Informatics 6 - Chair for Cyber Physical Systems under Prof. Matthias Althoff. His research focuses on Modular Robotics, Reinforcement Learning, Cyber-Physical Systems, and Control Systems.

His work includes algorithmic synthesis of modular robot compositions, model-based manipulator co-design, and unifying benchmarks for robotics. He has supervised multiple

• Master’s theses
• Bachelor’s theses
• Practical courses

on topics like Robot Workspace Representation and Dynamic Model Identification. Notable supervised projects include Autonomous Navigation of Reachbot and Task-Based Modular Robot Configuration Synthesis.

His recent publications span Robotics, Benchmarking, and Computational Social Science. Key trends include

• Computationally efficient assessment of robot capabilities
• Deep reinforcement learning for robotics
• Analysis of political discourse polarization

Jonathan emphasizes structured thesis supervision, requiring exposés, shared folders, and protocol-driven meetings. He advocates for LaTeX in scientific writing and tools like NotebookLM and Zettlr for research documentation.