Earl Ryan M. Aleluya
Papers
6
Total Citations
29
H-Index
3
About
Earl Ryan M. Aleluya is a robotics researcher specializing in autonomous multi-robot systems, with a focus on collaborative aerial-ground robot coordination for hazardous environment exploration. His work centers on developing robust decision-making and visual servo control mechanisms that enable seamless cooperation between drones and ground rovers, particularly for volcano exploration and disaster monitoring applications. His most cited paper (10 citations) introduces a finite state machine-based decision system for soccer-playing robots, integrating skill hierarchies with Bezier polynomial path planning to optimize autonomous strategy execution. Aleluya's major contributions include pioneering visual servo control methods for drone-ground robot alignment and retrieval operations, addressing the critical challenge of safely recovering rovers from dangerous terrains. His research on YOLO-based instance segmentation for drone detection and tilt correction algorithms has advanced the precision of autonomous alignment systems. With a growing body of work spanning from 2018 to 2025, Aleluya's publications demonstrate increasing sophistication in tackling real-world robotic retrieval challenges, earning him recognition as an emerging leader in collaborative UAV-UGV systems for extreme environment exploration.
Research Focus
Key Achievements
Top Papers
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- 2Ground Rover Visual Servo Control for Drone Alignment8 citations · 2022
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