Stefan Zihlmann
Papers
1
Total Citations
3
H-Index
1
About
Stefan Zihlmann is a robotics researcher whose work centers on autonomous navigation, human-robot interaction, and perception in dynamic environments. His primary contributions lie in developing robust, real-time systems that enable mobile robots to safely and efficiently operate alongside people. His most-cited paper, "Autonomous Navigation in Dynamic Human Environments with an Embedded 2D LiDAR-based Person Tracker" (2024), addresses the critical challenge of robotic autonomy in shared spaces, introducing a lightweight tracking framework that integrates person detection directly into navigation pipelines. This work has already garnered 3 citations, signaling its relevance to the growing field of socially-aware robotics. Zihlmann’s research is particularly notable for its focus on embedded, resource-efficient solutions, making his approaches practical for real-world deployment. By tackling the intersection of perception, planning, and human-aware motion, he is helping to bridge the gap between laboratory prototypes and functional robots that can navigate crowded, unpredictable environments—a key step toward widespread adoption of service and collaborative robots.
Research Focus
Key Achievements
Top Papers
- 1