Meti Megayanti
Papers
2
Total Citations
5
H-Index
2
About
Meti Megayanti is a researcher whose work lies at the intersection of control systems, robotics, and artificial intelligence, with a particular focus on unmanned aerial vehicles (UAVs) and autonomous balancing systems. Her research addresses critical challenges in stabilizing complex robotic platforms under real-world constraints. In her most cited work, she developed a hexacopter guidance system using fuzzy logic control to maintain altitude and attitude stabilization under wind disturbances—a crucial capability for monitoring hazardous environments contaminated with chemical, radioactive, or nuclear materials. This work, published in 2018, has garnered 3 citations and demonstrates her ability to apply intelligent control methods to safety-critical applications. In a complementary study from 2019, Megayanti investigated the influence of input parameters and membership functions on fuzzy logic controllers for two-wheeled balancing robots, systematically comparing Mamdani-type controllers to optimize stability. Her contributions bridge theoretical control design with practical implementation, offering insights into how fuzzy logic can enhance the robustness of autonomous systems. With a growing citation footprint, Megayanti’s work is laying important groundwork for next-generation autonomous robots operating in unpredictable environments.
Research Focus
Key Achievements
Top Papers
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