Papers
6
Total Citations
46
H-Index
4
About
Gabryel Silva Ramos is a leading researcher at the intersection of autonomous aerial robotics and offshore marine engineering, specializing in the development of intelligent unmanned aerial vehicle (UAV) systems for complex maritime operations. His work centers on three critical domains: vision-assisted target tracking, swarm cognitive architectures, and robust control systems for UAVs operating in harsh offshore environments. Ramos’s most impactful contribution is the creation of ARCog-NET, an advanced cognitive architecture for networked aerial robots that enables autonomous swarm coordination, task allocation, and formation control—a framework that bridges the gap between simulation and real-world deployment. His seminal 2022 paper on EKF-based vision-assisted target tracking for autonomous UAVs in offshore mooring tasks has garnered 18 citations, establishing a foundation for safer, more efficient oil and gas offloading operations. Ramos has also pioneered sliding mode controllers to mitigate wind disturbances during marine cargo transport, and conducted technical-economic feasibility studies for novel mooring-assisting methodologies using autonomous UAVs. His recent work on deep learning autoencoders for image compression in multi-UAV networks further demonstrates his commitment to solving real-world communication challenges. With a growing citation record and innovations that promise to reduce operational risks and costs in the offshore industry, Ramos is shaping the future of autonomous maritime logistics.
Research Focus
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