Christian Wengert

Papers

Total Citations

H-Index

About

Christian Wengert’s research lies at the intersection of human-robot interaction, mobile robotics, and computer vision, with a particular focus on enabling natural, intuitive communication between people and machines. His most cited works, including "Human Oriented Tracking and Mobile Robot Gesture Driving" and "Human-Oriented Tracking for Human-Robot Interaction," both from 2002, introduced pioneering methods for using stereo vision to track human motion and interpret gestures, allowing mobile robots to be driven or guided through simple, proximal commands. These contributions addressed a critical challenge in robotics: making interaction transparent and effective without requiring specialized interfaces. By demonstrating that robots could observe and react to human behavior in real-world environments, Wengert helped lay the groundwork for more responsive, socially aware robotic systems. Though his citation counts are modest—each paper has garnered 3 citations—his work represents an early and important step toward the seamless human-robot collaboration that is now a central goal in the field. His research, conducted at the Swiss Federal Institute of Technology, remains a reference point for those exploring vision-based, gesture-driven control in robotics.