Subchan Subchan
Papers
2
Total Citations
16
H-Index
2
About
Subchan Subchan is a researcher whose work spans the fields of autonomous underwater vehicles (AUVs), navigation systems, and robotic control engineering. His most recognized contribution centers on advancing AUV technology, particularly through the development of sophisticated navigation and guidance systems. In his 2019 paper on the UNUSAITS AUV, which has garnered 13 citations, Subchan demonstrated the application of the Extended Kalman Filter (EKF) for accurate position and motion estimation — a critical capability for enabling underwater robots to operate freely without physical tethering, making ocean observation significantly more practical and flexible. This work represents a meaningful step forward in autonomous marine exploration technology. Beyond underwater systems, Subchan has also contributed to the field of robotic weapons systems, investigating numerical simulation techniques for acceleration and force control in turret-gun platforms under disturbance conditions. His 2015 study explored the dynamic challenges of 2-DOF manipulator systems, addressing how projectile size and body mass influence mechanical performance. Together, these works reflect Subchan's broader expertise in control systems, state estimation, and autonomous robotics — research areas with significant implications for both civilian marine applications and advanced defense technologies.
Research Focus
Key Achievements
Top Papers
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