Max Robotics — Global Service Robot Directory + US Certification

About

Gang Rao is a leading researcher in intelligent robotic manufacturing, specializing in high-precision visual sensing and control for industrial automation. His work centers on structured light-based 3D measurement, fringe projection profilometry, and visual servoing, with a particular focus on solving critical challenges in large-scale structure assembly. Rao’s most impactful contribution is the development of a fringe-projection-based method for normal direction measurement and adjustment in robotic drilling, which dramatically improves accuracy on high-curvature surfaces where traditional range sensors fail. This work, published in 2019, has garnered 45 citations and is complemented by his 2017 study on optimizing normal direction using dense 3D point clouds (26 citations). He has also advanced robotic welding by proposing a structured light-based visual servoing method for pose optimization (22 citations). Through his innovative use of phase maps as direct visual features—rather than relying on texture or contours—Rao has enabled robust, real-time control for robots operating on texture-less or complex surfaces. His research bridges the gap between offline programming and real-world variability, making him a key figure in the evolution of adaptive, vision-guided robotic systems for aerospace and heavy manufacturing.