Jonathan Külz joined the Cyber Physical Systems Group as a doctoral student under the supervision of Prof. Dr.-Ing. Matthias Althoff in November 2021. He received his bachelor's degree in Mechatronics and Information Technology from the Karlsruher Institute of Technology (KIT) and his master's degree in Robotics, Cognition, Intelligence from the Technical University Munich (TUM).
His research includes:
Algorithmic synthesis of modular robot compositions
Model-based manipulator co-design
Unifying benchmarks for modular and industrial robotics
Computationally efficient methods for the assessment of robot capabilities
Are you looking for a thesis or a student project?
Disclaimer: Unfortunately, I will not be able to supervise new student projects until (including) May 2025.
I am always looking for self-motivated students that want to work in my research area. If you are interested in doing awesome research in (modular) robotics together, please follow these steps:
Try to understand what my research is about (see below) and what exactly you are interested in.
Have a look at this website to gain insight into my supervision approach and my expected student contributions.
Write me a mail containing CV, transcript of records, and a concise statement of motivation.
If I have capacities, we will most likely meet: Please prepare for the meeting by figuring out what you want to gain out of a thesis supervised by me.
Colloquially speaking, I care about the following questions:
How do we design robots that are tailored to solving specific industrial tasks?
How do we co-design robots and automation cells to perform well together?
Which machine learning algorithms are well-suited to design the morphology of a robot?
And last but not least: Considering that all of the above-posed questions require an extensive amount of simulation and evaluation: How can we assess "robot capabilities" computationally efficient for previously unseen robots?
Bachelor Theses
Manipulation of a modular robot in construction - Mykhailo Razinkin
Problem-Related Optimization of Discrete Robot Morphologies Using Reinforcement Learning - Zekun Jiao
Jonathan Külz; Matthias Althoff: Optimizing Modular Robot Composition: A Lexicographic Genetic Algorithm Approach. International Conference on Robotics and Automation, 2024 more…
Matthias Mayer, Jonathan Külz, Matthias Althoff: CoBRA: A Composable Benchmark for Robotics Applications. IEEE International Conference on Robotics and Automation (ICRA), 2024, 17665-17671 more…
Mayer, Matthias; Külz, Jonathan; Althoff, Matthias: CoBRA: A Composable Benchmark for Robotics Applications. IEEE International Conference on Robotics and Automation (ICRA 2024), 2024, 17665--17671 more…
Xinyu Chen; Jonathan Külz; Matthias Althoff: Generating Robot Capability Maps with Neural Fields. RSS Workshop on Embodiment-Aware Robot Learning, 2024 more…
2023
Jonathan Külz, Matthias Mayer, and Matthias Althoff: Timor Python: A Toolbox for Industrial Modular Robotics. International Conference on Intelligent Robots and Systems, 2023 more…
Külz, Jonathan; Spitz, Andreas; Abu-Akel, Ahmad; Günnemann, Stephan; West, Robert: United States politicians’ tone became more negative with 2016 primary campaigns. Scientific Reports 13 (1), 2023 more…
2022
Jonathan Külz, Andreas Spitz, Ahmad Abu-Akel, Stephan Günnemann, Robert West: United States Politicians' Tone Became More Negative with 2016 Primary Campaigns. International Conference on Computational Social Science (IC2S2), 2022 more…
