Simon Kohaut
PhD Candidate · AI & ML Lab · TU Darmstadt
I am a PhD candidate at the Artificial Intelligence & Machine Learning Lab at TU Darmstadt, co-supervised by Kristian Kersting and Devendra Singh Dhami.
My research sits at the intersection of neuro-symbolic AI and responsible reasoning systems, developing methods that combine the representational powers of neural learning with the interpretability and reasoning capabilities of symbolic systems. I am particularly interested in deploying such systems in safety-critical domains, including robotics and autonomous transportation, where reliability, explainability, and formal guarantees are essential.
I care about building AI that is not only performant, but also verifiable, transparent, and safe by design, contributing to a future where intelligent systems can be responsibly integrated into the physical world.
news
| Jun 11, 2026 | Paper accepted at Data-centric Machine Learning Research (DMLR): CycliST: A video language model benchmark for reasoning on cyclical state transitions. |
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| Mar 03, 2026 | New preprint: Right in time: Reactive reasoning in regulated traffic spaces. |
| Feb 07, 2026 | New preprint: Reactive knowledge representation and asynchronous reasoning. |
| Nov 29, 2025 | New preprint: CycliST: A video language model benchmark for reasoning on cyclical state transitions |
| Oct 18, 2025 | Paper published at 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): The Constitutional Filter: Bayesian estimation of compliant agents. |
| Oct 02, 2025 | Journal paper accepted in IEEE Transactions on Intelligent Transportation Systems: Probabilistic mission design for neuro-symbolic unmanned aircraft systems. |
| Sep 24, 2025 | Journal paper published in ACM Journal on Autonomous Transportation Systems: Hybrid many-objective optimization in probabilistic mission design for compliant and effective UAV routing. |
| Jul 20, 2025 | New preprint: The Constitutional Controller: Doubt-calibrated steering of compliant agents. |
| Dec 18, 2024 | New preprint: Answer set networks: Casting answer set programming into deep learning. |
| Aug 31, 2024 | Paper published at 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC): StaR Maps: Unveiling uncertainty in geospatial relations. |
| Jun 03, 2024 | Paper published at 2024 International Conference on Unmanned Aircraft Systems (ICUAS): Towards probabilistic clearance, explanation and optimization. |
| Oct 25, 2023 | US Patent filed: Probabilistic mission design (App. 18/192,660). |
| Sep 03, 2023 | Paper published at 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC): Mission design for unmanned aerial vehicles using hybrid probabilistic logic programs. |
| Sep 30, 2022 | I started my PhD at the AI & ML Lab at TU Darmstadt in collaboration with the Honda Research Institute Europe. |
| Sep 23, 2021 | Paper published at 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC): Error decomposition for hybrid localization systems. |
| May 26, 2021 | US Patent filed: Analysis of localization errors in a mobile object (App. 17/105,510). |
| Jun 30, 2018 | Paper published at International Robotic Sailing Conference 2018 (IRSC): Dynamic simulation model for an autonomous sailboat. |