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Frederik Eichlohn

Updated 2026-11

Photo of Frederik Eichlohn

Mechatronics, AI and autonomous systems

Education

  • M. Sc. Mechatronics and Information Technology - autonomous systems and AI

    April 2025 – present

    Karlsruhe Institute of Technology (KIT)

  • B. Sc. General Engineering Science - Mechanical Engineering - Biomechanics

    October 2020 – September 2024

    Hamburg University of Technology (TUHH)

Practical experience

  • Student research assistant: Reinforcement learning for circular factories

    July 2026 – March 2027

    wbk Institute of Production Science, KIT

  • Internship and working student position: Development of automated test benches

    January 2024 – September 2025

    Löwenstein Medical Technologies GmbH & Co. KG

  • Internship: Fundamentals of metalworking and machining

    September 2023 – December 2023

    Möllering Gummi- und Kunststofftechnik GmbH

  • Student assistant: DLR School Lab TUHH

    September 2021 – August 2023

    DLR - German Aerospace Center

Skills

  • Programming

    Python, C++

  • Robotics

    ROS 2

  • Machine learning

    Reinforcement Learning, PyTorch, Python

  • Languages

    German: native language, English: fluent, spoken and written

Selected work

All projects (4)

Projects
4
Latest
August 2026
Topics
ROS 2, Python, Haptics, User study, Statistics, Software architecture, Reinforcement Learning, Circular factory, Reconfiguration, IoT, MQTT, Arduino, Sensor network, Hackathon, C++, Path planning, Geometry
    • Reinforcement Learning
    • Software development
    • PPO
    • Graph-RL
    • PyTorch
    • Python
    Drawing of a production station in the form of a machine tool. Below it are the three processes it can be converted to: disassembly, inspection and assembly. Inspection is selected; it is outlined in green, and a measuring probe sits in the spindle.
  1. A model car drives through a cone corridor that was detected from camera images

    Technical drawing of a cone corridor that branches off the map line at an angle, with the planned track, the transition from the map line and the vehicle outlines along the path
  2. Concept for an IoT platform that lets Karlsruhe water its city trees as needed. Challenge set by VEGA at the HackXplore 2026 hackathon.

    Screenshot of the TreePulse dashboard with a dark theme. At the top, the weather in Karlsruhe; below it, four counters: 3 trees need water, 3 should be checked soon, 6 are healthy, 12 sensors. Below that, a map of Karlsruhe city centre with red, yellow and green dots for the sensors.
  3. User study on haptic forces on a joystick that help with steering a drone

    Drawing of a participant from behind at a table. The participant holds a joystick with force feedback in the right hand. On the screen in front of them, a drone flies between circular obstacles towards a goal. A blue arrow at the joystick and one at the drone show the force that pushes away from the nearest obstacle.