Christoph Mayr‐Dorn

About

Christoph Mayr‑Dorn is a leading researcher at the intersection of software engineering, cyber‑physical systems, and human‑robot collaboration. His work focuses on making industrial automation accessible to domain experts who are not professional programmers—a critical need in the era of Industry 4.0. Mayr‑Dorn’s major contributions include pioneering block‑based and visual programming languages for industrial robots, as demonstrated in his most‑cited paper, “Considerations for using Block‑Based Languages for Industrial Robot Programming – a Case Study” (2021, 17 citations). He has also advanced the use of AI planning (PDDL) for production cells and proposed adaptive system‑of‑systems approaches for resilient manufacturing (2021, 14 citations). His research on end‑user programming, evaluated through controlled experiments, directly addresses the challenge of enabling non‑programmers to customize robotic behavior on the shop floor. Mayr‑Dorn’s work has been recognized for its practical impact, bridging the gap between complex automation systems and the humans who operate them. With a growing citation record and a focus on cognitive processes in human‑machine interaction, he is shaping the future of accessible, flexible, and resilient manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   Considerations for using Block-Based Languages for Industrial Robot Programming - a Case Study

   17 citations · 2021
2. 2
   An adaptive system-of-systems approach for resilient manufacturing

   14 citations · 2021
3. 3
   Human/machine/roboter: technologies for cognitive processes

   9 citations · 2019
4. 4
   Evaluating PDDL for programming production cells

   7 citations · 2022
5. 5
   Assessing industrial end-user programming of robotic production cells: A controlled experiment

   4 citations · 2022

Key Collaborators

Contact & Links