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About

Stuart Meikle is a computer vision and robotics researcher whose work has made meaningful contributions to the fields of autonomous systems, micro-robotics, and machine perception. His most influential research focuses on developing customised machine vision methods for closed-loop micro-robotic control systems, enabling precise manipulation and assembly at the micron and sub-micron scale — work that has accumulated 13 citations and represents a significant technical achievement in a highly specialized domain. Meikle's contributions to the European MINIMAN micro-robot project further demonstrate his practical impact, designing robust vision subsystems capable of tracking micro-objects under both optical and scanning electron microscopes. Beyond micro-scale systems, Meikle has explored autonomous mobile robot navigation, developing probabilistic, view-based algorithms for map building and path planning in unknown environments, with potential applications including intelligent wheelchairs. His 2005 work on real-time object recognition using pairs of lines and his later investigation into swarm robotics reflect a broad and evolving research vision — spanning individual robotic perception to collective, decentralised intelligence inspired by biological systems. With a body of work bridging theoretical algorithms and real-world robotic applications, Meikle represents a researcher whose contributions, though modestly cited, address technically demanding and practically relevant challenges in autonomous systems engineering.