Mary-Ann Rege

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About

Mary-Ann Rege is a leading researcher in the field of industrial robotics, with a primary focus on the automation and optimization of manufacturing processes. Her most significant contributions lie in the development of intelligent trajectory generation for robotic spray painting, a critical application where manual programming leads to inefficiencies in cycle time and material waste. Her seminal 2010 paper, "Automatic Trajectory Generation for Robotic Painting Application," which has garnered 17 citations, laid the groundwork for automating and optimizing spray gun paths. This work directly addresses the industry's need to minimize paint waste and reduce programming time, moving beyond traditional "teach-and-touch-up" methods. By pioneering algorithms that generate efficient, collision-free trajectories, Rege has helped bridge the gap between theoretical robotics and practical, high-volume manufacturing. Her research is particularly notable for its direct industrial applicability, offering tangible solutions for reducing operational costs and environmental impact in painting processes. For students and researchers in robotics and manufacturing, Rege’s work represents a crucial step toward fully autonomous, resource-efficient production lines.