Drew Sander

Papers

Total Citations

H-Index

About

Drew Sander is a researcher at the forefront of industrial robotics, specializing in motion capture technology for calibration and precision control. His work addresses a critical challenge in manufacturing: the need for accurate, flexible robot calibration methods that can adapt to dynamic production environments. Sander’s most-cited paper, “Motion capture based calibration for industrial robots” (2023), introduces a novel approach that leverages optical motion capture systems to calibrate robot kinematics in real time, reducing downtime and improving repeatability. This contribution has garnered 4 citations, signaling growing interest from both academia and industry in cost-effective, non-invasive calibration techniques. Beyond this, Sander’s research bridges the gap between computer vision and robotics, with potential applications in collaborative robotics and automated assembly. His work is particularly notable for its practical focus, aiming to make advanced calibration accessible to small and medium-sized manufacturers. As the field moves toward smarter, more adaptable factories, Sander’s innovations position him as a key contributor to the next generation of industrial automation.