Marcel Albus

Marcel Albus

Research Engineer


Marcel Albus is a research engineer with 5+ years of industrial experience in software development and 3+ years of experience in factory automation. He uses mathematical optimization for assembly automation and machine learning methods, such as reinforcement learning, for robotics manipulation. Marcel obtained a master’s degree in mechatronics from the University of Stuttgart and a bachelor’s degree in mechanical engineering from the University of Applied Sciences Albstadt‑Sigmaringen. His interests range from problem-solving methods for challenging tasks to new technologies and tools.

In the field of factory automation, he is responsible for the “automation of automation” in the context of reconfiguration and matrix production to create flexible production systems of the future. He also knows the application of reinforcement learning-based control methods for robotic manipulation and assembly automation.

Download my resumé.

  • Mathematical Optimization
  • Artificial Intelligence
  • Robotics
  • M.Sc. in Mechatronics, 2019

    University of Stuttgart

  • B.Eng. in Mechanical Engineering, 2016

    University of Applied Sciences Albstadt‑Sigmaringen




Research Engineer
Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Apr 2019 – Present Stuttgart

Research Engineer in the field of robotic assembly automation using methods of mathematical optimization and machine learning with proficiency in the following fields:

  • Assembly Line Balancing optimization for robotics and hybrid lines using mixed‑integer programming and genetic algorithms.
  • Usage of robotic assembly skills in combination with symbolic AI to solve a peg-in-hole task with real‑world execution and evaluation.
  • Learning complex assembly tasks in physics simulation using Reinforcement Learning.
  • Verification of Machine Learning detection models in safety‑critical applications.
Research Assistant
Fraunhofer Institute for Manufacturing Engineering and Automation IPA
May 2017 – Apr 2019 Stuttgart

Research Assistant in the group of “Industrial and Commercial Service Robots” with the following main emphasis:

  • Autonomous simulation and identification of safety critical behaviour for assistive robots as continous integration service.
  • Design and simulation of assistive robotics in highly changeable and dynamic environments.
  • Optimization of path control procedures for assistive robots through identification and setup of edge-case test environments and a parameter optimization pipeline.
Design Engineer
hofer Powertrain
Sep 2014 – Jan 2016 Nürtingen
  • Technical design, calculation and construction of endurance and extreme temperature test benches for automotive manufacturers.
  • Investigation of double clutch systems in high performance transmission for motorcycles with more than 200 hp.


Master of Science in Mechatronics
University of Stuttgart
Apr 2016 – Apr 2019 Stuttgart
  • Specialized in software engineering and systems control, with a focus on automation applications.
  • Master thesis in the field of reinforcement learning for human robot collaboration, “Deep reinforcement learning architecture for safety behaviour in robotics”.
  • Study thesis in the field of service robotics path planning, “Analysis and optimization of parameter sets for path control procedures of mobile service robotics in dynamic environments”.
  • Final grade 1,7.
Bachelor of Engineering in Mechanical Engineering
University of Applied Sciences Albstadt‑Sigmaringen
Sep 2012 – Apr 2016 Albstadt-Ebingen
  • Bachelor thesis in the field of control engineering, “Design of a control algorithm for an airplane autopilot”.
  • Final grade 1,7.



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