John Mel A. Bolaybolay
Papers
4
Total Citations
11
H-Index
3
About
John Mel A. Bolaybolay is pioneering the frontier of collaborative robotics for extreme environment exploration, with a specific focus on volcanic and disaster zones. His research centers on developing autonomous systems where unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) work in tandem, addressing critical limitations in battery life and mobility that constrain individual robots. Bolaybolay’s major contributions include novel visual servoing and detection frameworks—such as ground robot detection models and YOLO-based instance segmentation for drone identification—that enable precise, autonomous alignment and retrieval operations between aerial and ground robots. His work on tilt correction and visual servo control has laid the groundwork for safer, more reliable robot retrieval from hazardous environments, directly reducing risks to human personnel. With his most-cited paper, "Ground Robot Detection for Collaborative UAV-UGV Alignment and Retrieval Operations" (2023), garnering 4 citations, and subsequent works in 2025 already accumulating citations, Bolaybolay is establishing himself as an emerging leader in field robotics. His research not only advances robotic autonomy but also offers tangible solutions for volcanologists and disaster responders who require persistent, safe monitoring of dangerous terrains.
Research Focus
Key Achievements
Top Papers
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