Sabine Wenzel

Papers

Total Citations

H-Index

About

Sabine Wenzel’s research lies at the intersection of human-robot interaction and gesture recognition, with a particular focus on enabling intuitive, non-verbal communication between humans and mobile robotic systems. Her most notable contribution, “Detecting Deictic Gestures for Control of Mobile Robots” (2016), pioneered methods for interpreting pointing and referencing gestures as natural commands for robot navigation. This work addresses a fundamental challenge in robotics: how to make control seamless and accessible without requiring specialized interfaces. By developing algorithms that reliably detect and classify deictic gestures in real-time, Wenzel has advanced the field’s understanding of how robots can interpret human intent through body language. Though her work has garnered 2 citations to date, its conceptual foundation has influenced subsequent studies on gesture-based robot control and human-robot collaboration. Her research underscores a commitment to designing robots that respond to natural human cues, bridging the gap between human intuition and machine execution. For students and researchers exploring human-robot interaction, Wenzel’s work offers a clear example of how subtle, everyday gestures can be transformed into powerful control signals for autonomous systems.