Michael Rathmair
Papers
9
Total Citations
48
H-Index
4
About
Michael Rathmair is a leading researcher in human-robot collaboration (HRC), focusing on the critical intersection of safety, perception, and formal verification. His work addresses the fundamental challenge of enabling safe, flexible, and productive collaboration between humans and robots in shared workspaces. Rathmair’s major contributions include pioneering experimental collision tests that quantify the influence of impact parameters on safety, providing essential data for biomechanical limits. He has also developed a unified perception benchmark for capacitive proximity sensing, a cost-effective solution that closes the perception gap for fast, close-range detection. His research extends to formal verification methods for collaborative robotic applications, ensuring functional correctness and safety properties through symbolic model checking. With over 48 citations across his most-cited works, Rathmair’s impact is evident in advancing both theoretical frameworks and practical safety standards. Notably, his 2023 study on collision tests has become a key reference for HRC safety, while his work on enhancing workspace flexibility through extended safety perspectives addresses industry’s need for agile production. Rathmair’s interdisciplinary approach—combining experimental validation, formal methods, and anomaly detection—positions him as a pivotal figure in shaping the future of safe, human-centered robotics.
Research Focus
Key Achievements
Top Papers
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- 3Physische Sicherheit in der Mensch-Roboter Kollaboration7 citations · 2019
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- 7A Formal Verification Approach for Robotic Workflows3 citations · 2021
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- 9Safety as Bad Cop of Physical Assistance Systems?2 citations · 2021