Simon Bihlmaier
Papers
1
Total Citations
3
H-Index
1
About
Simon Bihlmaier is a researcher at the forefront of human-robot interaction, with a primary focus on understanding and predicting human motion in shared environments. His most notable contribution is the creation of the MoGaze dataset (2020), a pioneering resource that uniquely combines full-body motion capture with workspace geometry and eye-gaze data. This dataset addresses a critical gap in robotics: enabling machines to anticipate human actions in open, dynamic spaces. With 3 citations, MoGaze has already influenced the field by providing a rich, multimodal foundation for developing more intuitive and safe robotic systems. Bihlmaier’s work is essential for advancing collaborative robotics, where predicting human intent—through gaze and body movement—is key to seamless interaction. His research underscores the importance of high-quality, context-rich data in bridging the gap between humans and autonomous systems, making him a vital contributor to the future of human-aware robotics.
Research Focus
Key Achievements
Top Papers
- 1