Myriel Fichtner

University of Bayreuth

Papers

3

Total Citations

52

H-Index

2

About

Myriel Fichtner is a leading researcher in human-robot interaction, specializing in making robot programming accessible to non-experts. Her work focuses on developing intuitive programming paradigms and robust evaluation frameworks to bridge the gap between complex robotic systems and everyday users. Fichtner’s most significant contribution is the concept of "One-Shot robot programming," which allows users to teach robots tasks with minimal effort, dramatically reducing the programming burden. Her seminal 2016 paper on this topic, with 45 citations, demonstrates the intuitiveness and robustness of this approach, highlighting its potential for household and small enterprise applications. To systematically assess such systems, she developed the MINERIC toolkit (2017), a set of standardized instruments for measuring the intuitiveness and robustness of robot programming concepts. More recently, her 2024 work on enriching process models for flexible human-robot teaming advances the field toward adaptive, collaborative environments. Fichtner’s research is pivotal in democratizing robotics, empowering non-experts to harness the benefits of automation without specialized training.

Research Focus

Key Achievements

2
H-Index
3
Papers
52
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Robot programming by non-experts: Intuitiveness and robustness of One-Shot robot programming
45 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Bayreuth

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago