Max Robotics — Global Service Robot Directory + US Certification

About

Charles M. Higgins is a pioneer in biomimetic hardware, designing analog VLSI sensors that translate biological vision into robotic control. His research sits at the intersection of neuroscience, robotics, and microelectronics, with a focus on motion detection and visual tracking. His most cited work, "A Biomimetic VLSI Sensor for Visual Tracking of Small Moving Targets" (2004, 74 citations), draws directly from the fly’s visual system to create a monolithic sensor that enables autonomous robots to track small, fast-moving objects—a feat critical for applications like drone navigation and surveillance. Higgins also explores hybrid bio-artificial systems, as in his 2014 study using dragonflies as living sensors, bridging gaps in our understanding of early visual processing. His earlier contributions include analog CMOS velocity sensors (1997) and a focal-plane speed computation architecture (2007), both designed for efficient, real-time robotic navigation. By integrating optical flow algorithms with compact, low-power hardware, Higgins has advanced the field of biologically inspired robotics, demonstrating how nature’s solutions can be engineered into robust, practical technologies.