L.A. Feldkamp

Papers

Total Citations

H-Index

About

L.A. Feldkamp is a pioneering researcher in the integration of robotics and computer vision, with a career spanning decades. Their primary research areas include robot/vision system calibration, automated assembly, and sensory-based robotic guidance. Feldkamp’s most significant contribution is the development of global calibration methods for robot/vision systems, which dramatically improve positioning accuracy—a critical factor for off-line programming and sensor-guided industrial applications. Their landmark 2005 paper, "Global calibration of a robot/vision system," has garnered 50 citations, underscoring its lasting influence on the field. Feldkamp also advanced vision-guided robotics for automated assembly, designing systems that use stereo-pair CCD cameras mounted on robot end-effectors to achieve precise destination poses. Their 2003 and 1988 works on this topic, with 18 and 2 citations respectively, highlight a sustained focus on bridging the gap between vision accuracy, robot precision, and manufacturing requirements. By addressing these systems-level challenges, Feldkamp has helped lay the groundwork for modern industrial automation, where robots rely on visual feedback for tasks like assembly and quality control. Their research remains essential reading for engineers and students seeking to understand the practical calibration and integration of vision and robotics.