Gerald Steiner
Papers
1
Total Citations
3
H-Index
1
About
Gerald Steiner is a distinguished researcher whose work centers on sensor technology and advanced signal processing, with a particular focus on capacitive sensing systems for industrial and robotic applications. His major contributions lie in developing sophisticated estimation techniques that enhance the accuracy and reliability of non-contacting sensors, which are critical in environments where temperature fluctuations, vibrations, and moisture pose challenges. Steiner's most cited work, "Accurate estimation of angular position and speed for a capacitive sensor based on an extended Kalman filter approach" (2004), demonstrates his pioneering approach to integrating Kalman filtering with capacitive sensor data to achieve precise angular measurements—a fundamental requirement in robotics. With 3 citations, this paper has provided a foundational methodology for researchers working on sensor fusion and real-time position tracking. Steiner's achievements include advancing the practical utility of capacitive sensors in harsh industrial settings, bridging the gap between theoretical estimation algorithms and real-world engineering challenges. His research continues to influence the development of robust, high-precision sensing systems essential for modern automation and control technologies.
Research Focus
Key Achievements
Top Papers
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