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About

Jenelle Armstrong Piepmeier is a robotics engineer and educator whose research has fundamentally advanced the field of uncalibrated visual servoing — the ability to guide robotic systems using vision feedback without requiring precisely calibrated kinematic or camera models. Her most influential contribution, "Uncalibrated Dynamic Visual Servoing" (2004, 226 citations), introduced a dynamic quasi-Newton method that enables robust, model-independent robotic tracking control, eliminating the need for painstaking calibration procedures that had long constrained practical deployment. Building on this foundation, her work on eye-in-hand visual servoing extended these techniques to moving-camera systems, demonstrating versatile uncalibrated control across diverse robotic configurations. Piepmeier further applied these principles to cutting-edge challenges in microrobotics, developing uncalibrated vision-based control for magnetically actuated microrobots operating in fluid environments — opening pathways toward precision micromanipulation applications. Beyond her technical contributions, she has shown a sustained commitment to robotics education, advocating for problem-based, experiential learning methodologies and pioneering microsystems education through innovative competitions like the RoboCup Nanogram League. With over 500 cumulative citations across her key works, Piepmeier's research has meaningfully shaped both the theory and practice of intelligent robotic control systems.