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About

Colin Greatwood is a pioneering robotics researcher whose work sits at the intersection of computer vision, autonomous systems, and environmental science. His primary research focuses on developing ultra-low-latency vision processing for agile robots using Pixel Processor Arrays (PPAs)—a revolutionary class of vision sensors that perform computation directly on the focal plane. His most cited paper (67 citations) demonstrates how PPAs enable sensor-level computer vision for agile autonomous robots, overcoming the power and space constraints of conventional hardware. Greatwood has made significant contributions to UAV control, including tracking ground targets with parallel visual processors (32 citations) and developing visual odometry for GPS-denied environments (22 citations). His work extends beyond robotics into atmospheric science, where he used octocopters to collect methane samples above and below the trade wind inversion at Ascension Island (27 citations), providing crucial data for climate monitoring. In a particularly innovative application, he fused animal biometrics with autonomous drones to identify Friesian cattle (16 citations), showcasing the real-world versatility of his vision systems. Greatwood’s research consistently pushes the boundaries of what’s possible with on-sensor processing, enabling faster, more efficient autonomous navigation in challenging environments.