Papers
4
Total Citations
55
H-Index
3
About
Juan Sandino is a researcher specializing in autonomous unmanned aerial vehicles (UAVs), computer vision, and robotics, with a particular focus on enabling intelligent systems to operate in challenging, real-world environments. His most influential work addresses a critical frontier in UAV research: autonomous navigation and active perception in uncertain, cluttered, and GPS-denied settings. His 2020 paper on UAV navigation for active target perception has garnered 33 citations, establishing him as a notable voice in the field of autonomous aerial systems. Sandino has extended this expertise to aerial manipulation, contributing to the design and flight testing of robotic manipulators mounted on UAVs — expanding the operational potential of these platforms in hazardous environments where human access is restricted. His 2023 work further advances navigation capabilities in visually degraded conditions, addressing limitations of conventional GPS-reliant systems for applications such as search and rescue and planetary exploration. Earlier in his career, Sandino applied digital image processing to agricultural monitoring, demonstrating the breadth of his technical interests. Collectively, his research reflects a commitment to making autonomous aerial systems more robust, perceptive, and practically deployable across diverse and demanding applications.
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