Robert E. Mullen

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About

Robert E. Mullen is a robotics researcher whose work centers on intelligent, sensor-driven robotic tracking and interception of moving objects. His major contributions lie in developing vision-based and multi-sensor systems that enable robots to autonomously track and acquire objects traveling at unknown velocities, a critical capability for industrial automation and manufacturing. His most influential work, "An adaptive robotic tracking system using optical flow" (2003), with 45 citations, presents a system using a fiber-optic eye-in-hand vision system developed at NCSU to visually track and intercept arbitrary objects on a conveyor. This adaptive approach, leveraging optical flow, represents a significant advance in real-time robotic manipulation. Earlier foundational papers, such as "A modified optical flow approach for robotic tracking and acquisition" (1989) and "Combined Vision/Ultrasonics For Multi-Dimensional Robotic Tracking" (1989), established his pioneering role in integrating multiple sensors—vision and ultrasonics—to achieve robust, multi-dimensional tracking. Through his work at the Robotics and Intelligent Systems Laboratory at NCSU, Mullen has contributed to the foundational principles of sensor fusion and adaptive control in robotics, impacting fields from automated assembly to intelligent manufacturing systems.