Papers
10
Total Citations
40
H-Index
4
About
Fabian Schirmer is an emerging researcher specializing in human-robot collaboration (HRC), with a particular focus on dynamic assembly planning, safety systems, and intuitive human-robot interaction in industrial environments. His work addresses one of manufacturing's most pressing challenges: seamlessly integrating human dexterity and cognitive flexibility with robotic endurance and precision. Schirmer's most influential contribution is his holistic framework for dynamic human-robot assembly planning, which tackles the complex, time-consuming task of allocating assembly sequences between humans and robots — earning over 10 citations since its 2025 publication. He has also made notable advances in anomaly detection for HRC environments, developing LSTM-based systems capable of recognizing human actions even when assembly processes allow multiple valid completion paths. Beyond task planning, Schirmer has pioneered the application of generative AI — specifically GPT-4 — to automate safety hazard analyses in HRC settings, and explored multimodal communication strategies including eye gaze tracking, gesture control, and robot path transparency. His research on Petri Net-based safety control systems further reflects a commitment to robust, modular safety architectures. With over 40 cumulative citations across a compact but rapidly growing body of work, Schirmer is establishing himself as a thoughtful and versatile voice in the next generation of collaborative robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Anomaly Detection for Dynamic Human-Robot Assembly7 citations · 2023
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- 6Towards a Modular Human-Robot Safety Control System Using Petri Nets2 citations · 2024
- 7Anomaly Detection for Dynamic Human-Robot Assembly2 citations · 2023
- 8
- 9Utilizing Eye Gaze for Human-Robot Collaborative Assembly2 citations · 2025
- 10