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Jannis Egelhof studied computer science at the Rhineland-Palatinate University of Technology Kaiserslautern-Landau. In 2021, he visited the Luleå University of Technology as part of a semester abroad. During his studies, he gained his first experience in the field of SLAM and the analysis of disturbances in point clouds due to snow, rain or dust. In October 2023 he completed his master thesis "Offroad-Trajectory Generation".
Since December 2023, he has been working as a research assistant in the Robot Systems working group. In this context, he continues to deal with wayfinding problems in the off-road area.
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Publications
2026
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- From Single-Task Autonomy to Swappable Implements. Architecture Evolution on the Unimog U5023.
9th Internationales Commercial Vehicle Technology Symposium Kaiserslautern, (2026) - Onboarding Developers Into Robotics Ecosystems. A Modeling-Driven Approach with LLM Assistance.
Advances in Service and Industrial Robotics, S. 535 - 542. (2026)
DOI: 10.1007/978-3-032-29127-1₅6 - Real-Time Simulation of Complex Suspension Kinematics and Frame Torsion for Heavy-Duty All-Terrain Vehicles.
Proceedings of the 16th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2026), (2026) - Towards Autonomous Suction Excavation. Overview, Application and Approaches.
9th Internationales Commercial Vehicle Technology Symposium Kaiserslautern, (2026)
2022
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- Disturbance and Particle Detection in LiDAR Data.
48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), (2022)
https://ieeexplore.ieee.org/document/9968972