Sebastian Herbster

Fraunhofer Institute for Factory Operation and Automation

Papers

6

Total Citations

142

H-Index

5

About

Sebastian Herbster is a researcher specializing in human-robot collaboration (HRC) safety, with a particular focus on the biomechanical and regulatory dimensions of collaborative robot (cobot) deployment in industrial environments. His work sits at the intersection of robotics engineering, safety standardization, and human factors research, addressing one of the most pressing challenges in modern manufacturing: ensuring that humans and robots can work side by side without physical barriers while remaining protected from injury. Herbster's most influential contribution, "Validating Safety in Human–Robot Collaboration: Standards and New Perspectives" (2021, 98 citations), has become a key reference in the field, critically examining existing safety standards and proposing forward-looking frameworks for cobot validation. Complementing this, his research on interlaboratory safety testing, apparent mass estimation, and contact force modeling during constrained collisions reflects a rigorous, measurement-driven approach to cobot safety assessment. His development of biomechanical response curves for calibrating collision-testing devices further demonstrates his commitment to building robust, evidence-based safety tools grounded in the biomechanical limits outlined in ISO/TS 15066. With over 140 cumulative citations across his published work, Herbster has established himself as a meaningful contributor to the emerging science of cobot safety, offering both applied methodologies and broader conceptual perspectives that inform researchers, engineers, and standards bodies alike.

Research Focus

Key Achievements

5
H-Index
6
Papers
142
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Validating Safety in Human–Robot Collaboration: Standards and New Perspectives
98 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Fraunhofer Institute for Factory Operation and Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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