Fakhruddin Mangkusasmito
Papers
2
Total Citations
8
H-Index
2
About
Fakhruddin Mangkusasmito is a roboticist specializing in visual servoing and underwater vehicle design. His work focuses on enhancing the precision and autonomy of robotic platforms through advanced control strategies and computational modeling. In his 2018 study on visual servo strategies, Mangkusasmito developed a Linear Quadratic Gaussian (LQG) controller for yaw-pitch camera platforms, enabling robots to maintain objects at the center of the image plane with high performance—a critical capability for dynamic visual tracking. This work, cited 4 times, addresses fundamental challenges in real-time visual feedback control. More recently, his 2022 research on mini-remotely operated underwater vehicles (ROVs) employed computational fluid dynamics (CFD) to specify design parameters and predict performance under pressure, advancing the reliability of submersible systems for marine exploration and industry. With 4 citations each, these contributions underscore his impact on both aerial and underwater robotics. Mangkusasmito’s integration of control theory with practical engineering offers valuable insights for students and researchers developing autonomous systems in challenging environments.
Research Focus
Key Achievements
Top Papers
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- 2