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Visual Odometry Using Pixel Processor Arrays for Unmanned Aerial Systems in GPS Denied Environments., , , , , , , , and . Frontiers Robotics AI, (2020)Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search and Individual ID of Friesian Cattle (Extended Abstract)., , and . WACV Workshops, page 38-43. IEEE, (2020)Perspective Correcting Visual Odometry for Agile MAVs using a Pixel Processor Array., , , , , , and . IROS, page 987-994. IEEE, (2018)Agile reactive navigation for a non-holonomic mobile robot using a pixel processor array., , , , , , , , and . IET Image Process., 15 (9): 1883-1892 (2021)Remote sensing and identification of volcanic plumes using fixed-wing UAVs over Volcán de Fuego, Guatemala., , , , , , , , , and 2 other author(s). J. Field Robotics, 36 (7): 1192-1211 (2019)Atmospheric Sampling on Ascension Island Using Multirotor UAVs., , , , , , , , and . Sensors, 17 (6): 1189 (2017)Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning., , and . ICCV Workshops, page 2850-2859. IEEE Computer Society, (2017)Reinforcement learning and model predictive control for robust embedded quadrotor guidance and control., and . Auton. Robots, 43 (7): 1681-1693 (2019)Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference., , and . IROS, page 237-243. IEEE, (2019)Deep Learning for Exploration and Recovery of Uncharted and Dynamic Targets from UAV-like Vision., , and . IROS, page 1124-1131. IEEE, (2018)