Papers
1
Total Citations
5
H-Index
1
About
Patrick Biehle’s research focuses on the reliability and robustness of machine vision systems for robotic guidance, particularly under challenging environmental conditions. His most-cited work, “Identification of Influence Parameters and Dependencies on the Illumination of Machine Vision Systems for Robots” (2016), systematically analyzes how external factors—especially illumination—affect system performance. By identifying key parameters and their interdependencies, Biehle provides a foundational framework for designing vision systems that are less dependent on costly shielding or complex algorithms. This contribution is critical for advancing industrial robotics, where consistent visual feedback is essential. Though his citation count is modest (5 citations), the work’s practical implications for improving system resilience in harsh settings underscore its value. Biehle’s research bridges the gap between theoretical robustness and real-world deployment, offering actionable insights for engineers and researchers aiming to enhance machine vision reliability. His focus on environmental influences positions him as a thoughtful contributor to the field, with potential for broader impact as robotics expands into more demanding applications.
Research Focus
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Top Papers
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