Franz Steinmetz
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
Top Papers
- 1
- 2RAFCON: A graphical tool for engineering complex, robotic tasks61 citations · 2016
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- 8Learning and Interactive Design of Shared Control Templates7 citations · 2021
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- 10Friction Estimation for Tendon-Driven Robotic Hands5 citations · 2021