Luis A. Sandino
Papers
2
Total Citations
12
H-Index
2
About
Luis A. Sandino is a researcher advancing the field of aerial robotics, with a primary focus on tethered Unmanned Aircraft Systems (UAS)—a relatively unexplored domain with significant potential for sustained flight and precise positioning. His key contributions center on developing robust state estimation algorithms for these complex systems. Sandino’s most notable work, "A Square-Root Unscented Kalman Filter for attitude and relative position estimation of a tethered unmanned helicopter" (2015, 8 citations), introduced a numerically efficient sigma-point Kalman filter tailored for the unique challenges of tethered flight. He extended this in "Multi-Sensor Data Fusion for a Tethered Unmanned Helicopter Using a Square-Root Unscented Kalman Filter" (2016, 4 citations), integrating data from multiple sensors to estimate a helicopter’s attitude and position relative to a moving platform. These contributions are foundational for enabling tethered UAS in applications like persistent surveillance and aerial manipulation, where stable, accurate estimation is critical. Sandino’s work stands out for addressing the gap in tethered aerial robotics, providing practical solutions that merge estimation theory with real-world robotic constraints.
Research Focus
Key Achievements
Top Papers
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