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About

Sepehr Gharaaty is a robotics researcher whose work centers on precision control, visual servoing, and accuracy enhancement for industrial robotic systems. His research addresses one of the most persistent challenges in industrial automation: the gap between a robot's programmed trajectory and its actual physical performance. By integrating advanced optical measurement technologies — including photogrammetry sensors and optical coordinate measuring machines — into real-time feedback control loops, Gharaaty has developed innovative dynamic path tracking and pose correction schemes that significantly elevate the accuracy of six-degree-of-freedom industrial robots. His most influential contribution, "Dynamic Path Tracking of Industrial Robots With High Accuracy Using Photogrammetry Sensor" (2018), has garnered 111 citations, establishing him as a notable voice in position-based visual servoing research. A companion study on online pose correction using optical coordinate measurement systems has attracted an additional 65 citations, further demonstrating the breadth and reproducibility of his approach. Collectively, his published work reflects a coherent research trajectory aimed at bridging the precision demands of modern manufacturing with practical, deployable robotic solutions — making his contributions particularly valuable for engineers and researchers working in aerospace, automotive, and advanced manufacturing automation.