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.
M.Sc. in Mechatronics, 2019
University of Stuttgart
B.Eng. in Mechanical Engineering, 2016
University of Applied Sciences Albstadt‑Sigmaringen
Research Engineer in the field of robotic assembly automation using methods of mathematical optimization and machine learning with proficiency in the following fields:
Research Assistant in the group of “Industrial and Commercial Service Robots” with the following main emphasis:
5 + 3 funktioniert, oder kennen das Ergebnis von
5 @ 3?
Scalability for resource reconfiguration in brownfield constrained Robotic Assembly Line Balancing Problems using a modified Genetic Algorithm
Resource reconfiguration and optimization in brownfield constrained Robotic Assembly Line Balancing Problems
Automated 2D Layout Design of Assembly Line Workstations through Physical Principles
Linear optimization for dynamic selection of resources in constrained assembly line balancing problems