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About

Claire Lartigue is a researcher whose work sits at the intersection of metrology, robotics, and advanced manufacturing inspection. Her primary focus lies in developing intelligent path planning strategies for automated 3D scanning systems, particularly using laser-plane sensors mounted on industrial robots to inspect complex manufactured parts with high precision and efficiency. Lartigue's most significant contributions center on optimizing scanner trajectories to ensure complete and accurate surface coverage. Her widely cited 2018 work on overlap-controlled scanner path planning — garnering 34 citations — introduced a novel methodology leveraging least-squares conformal mapping to project 3D surfaces into 2D space, enabling smarter, more systematic scan path generation. This approach ensures that successive scanning paths achieve controlled overlap, minimizing redundancy while maximizing inspection coverage. Her subsequent research extended these principles to on-machine inspection contexts, integrating laser-plane sensors directly into manufacturing workflows to enable real-time quality control without removing parts from production equipment. With a body of work accumulating nearly 70 citations across her key publications, Lartigue has made meaningful contributions to the field of automated dimensional inspection. Her research is particularly valuable for industries demanding tight geometric tolerances, such as aerospace and precision engineering, where reliable, robot-assisted scanning can dramatically improve quality assurance processes.