Papers

12

Total Citations

331

H-Index

7

About

Franz Steinmetz is a leading researcher in human-robot interaction (HRI) and intuitive robot programming, whose work is pivotal to democratizing automation for small and medium-sized enterprises. His core research focuses on task-level programming, programming by demonstration (PbD), and skill parameterization—enabling non-experts to program complex robotic tasks without specialized knowledge. Steinmetz’s major contributions include developing RAZER, a visual HRI system for intuitive skill parameterization (62 citations), and RAFCON, a graphical tool for engineering complex robotic tasks (61 citations). He pioneered simultaneous kinesthetic teaching of positional and force requirements for in-contact tasks (52 citations), allowing robots to learn dynamic skills like wood planing directly from human demonstration (29 citations). His work on semantic skill recognition (60 citations) bridges the gap between intuitive PbD and flexible task-level programming. Steinmetz also advanced ontological representations for flexible robotic assembly (12 citations) and shared control templates for users with motor impairments (7 citations). With over 300 total citations, his research directly addresses the industrial need for cost-effective, flexible automation, making him a key figure in the future of accessible robotics.

Research Focus

Key Achievements

7
H-Index
12
Papers
331
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
RAZER—A HRI for Visual Task-Level Programming and Intuitive Skill Parameterization
62 citations · 2018
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago