Sarquis Urzua

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About

Sarquis Urzua is a leading researcher in autonomous robotics, specializing in visual-inertial navigation and cooperative unmanned aerial vehicle (UAV) systems. His work addresses a critical challenge in modern robotics: enabling precise state estimation and target tracking in GPS-denied environments. Urzua’s most impactful contribution is the development of a monocular visual SLAM system for cooperative UAV–target operations, which has garnered 27 citations and provides a framework for self-localization without reliance on satellite signals. He further advanced the field with a visual-aided inertial navigation and mapping system (13 citations), fusing camera and inertial measurements through Kalman filtering to enhance autonomous robot state estimation. His notable 2020 work on a target-centric cooperative visual-SLAM system (8 citations) tackles the complex problem of dynamic target tracking by aerial robots, offering practical solutions for applications ranging from search-and-rescue to surveillance. Through these innovations, Urzua has demonstrated how multi-sensor fusion and cooperative strategies can overcome the limitations of traditional GPS-based navigation, pushing the boundaries of UAV autonomy in challenging operational scenarios.