Katharina S. Riesterer
Papers
2
Total Citations
5
H-Index
2
About
Katharina S. Riesterer is an early-career researcher working at the intersection of human-robot interaction (HRI), augmented reality (AR), and collaborative robotics. Her work focuses on developing intuitive frameworks that enable non-expert users to interact with and program robotic systems using emerging technologies such as Microsoft HoloLens and other head-mounted displays. Among her notable contributions is research into precise spatial referencing between AR head-mounted devices and robotic manipulators — a critical technical challenge for reliable augmented reality-based HRI. Her 2019 paper on this topic highlights the importance of accurate coordinate system transformations for both information visualization and human motion tracking. Complementing this, her work on a general hand guidance framework leverages the HoloLens to make robot trajectory programming accessible to lay users, extending traditional hand-guidance methods into immersive AR environments and enabling task learning through user demonstration. With a total of 5 citations across her most recognized works, both published in 2019, Riesterer represents a growing wave of researchers bridging human-centered design and robotics. Her contributions hold particular promise for democratizing robot programming in collaborative manufacturing and assistive technology settings.
Research Focus
Key Achievements
Top Papers
- 1Referencing between a Head-Mounted Device and Robotic Manipulators3 citations · 2019
- 2General Hand Guidance Framework using Microsoft HoloLens2 citations · 2019