Papers
5
Total Citations
24
H-Index
3
About
Tonia Mielke is a pioneering researcher at the intersection of human-robot interaction (HRI), augmented reality (AR), and medical robotics, with a focus on making robotic systems more intuitive and accessible. Her work centers on developing touchless control interfaces—using hand gestures and mid-air interactions—to replace traditional, physically demanding methods, particularly in high-stakes applications like robotic ultrasound. A key contribution is her development of "SensARy Substitution," an AR-based technique that visually conveys force feedback, solving the critical problem of missing haptic perception in touchless control—essential for ensuring image quality in medical diagnostics. Her most-cited paper, "A multimodal user interface for touchless control of robotic ultrasound" (2022, 13 citations), established foundational methods for non-tactile interaction, while her comparative studies on AR registration and gesture-based control have advanced the precision and usability of collaborative robots. With a growing body of work spanning 2022 to 2025, Mielke’s research is shaping the future of safer, more efficient human-robot collaboration in clinical and industrial settings, earning her recognition as a rising innovator in HRI.
Research Focus
Key Achievements
Top Papers
- 1A multimodal user interface for touchless control of robotic ultrasound13 citations · 2022
- 2
- 3
- 4
- 5