Francis Jann A. Alagon
Papers
4
Total Citations
11
H-Index
3
About
Francis Jann A. Alagon is a robotics researcher focused on advancing collaborative autonomy for aerial and ground robots in extreme environments. His work directly addresses the challenges of exploring and monitoring hazardous settings like active volcanoes and disaster zones, where human access is dangerous. Alagon’s key contributions center on developing robust visual servoing and detection systems that enable unmanned aerial vehicles (UAVs) to autonomously align with and retrieve ground robots (UGVs). His most cited paper, "Ground Robot Detection for Collaborative UAV-UGV Alignment and Retrieval Operations" (2023, 4 citations), establishes a foundational detection model for this critical retrieval task. He further refines this approach in "Visual Servoing Drone Utilizing Ground Robot Detection Model" (2025, 3 citations) and explores optimal detection architectures in "YOLO Instance Segmentation Model Comparison for Drone Detection" (2023, 3 citations). Alagon’s research tackles the fundamental limitations of both drones (short flight time) and mobile robots (mobility constraints) by creating synergistic systems where each platform compensates for the other’s weaknesses. His work on autonomous drone-ground robot alignment, including tilt correction for visual servo control, represents a significant step toward safer, more efficient robotic operations in the world’s most inaccessible and perilous environments.
Research Focus
Key Achievements
Top Papers
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