Reuben Strydom

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About

Reuben Strydom’s research lies at the intersection of autonomous robotics and biologically inspired control, with a focus on enabling unmanned aerial vehicles (UAVs) to navigate and interact with dynamic environments. His most influential work, “Visual Odometry: Autonomous UAV Navigation using Optic Flow and Stereo” (2014), has garnered 51 citations and presents a pioneering method that fuses optic flow with stereo vision to estimate a quadrotor’s 3D position along a pre-defined trajectory—a critical step toward robust, GPS-free navigation for mobile robots. Strydom further explores the principles of animal behavior in “Biologically inspired interception: A comparison of pursuit and constant bearing strategies in the presence of sensorimotor delay” (2015), where he models interception strategies using a first-order lead-lag system to account for real-world delays. Through extensive simulations, this work illuminates how sensorimotor constraints shape optimal control, offering practical insights for robotics. Strydom’s contributions bridge computational vision and ethology, advancing the field of autonomous systems with elegant, nature-inspired solutions. His research not only demonstrates technical rigor but also inspires future work in agile, vision-guided UAVs.