Ilham Junias ANGKOTASAN
Papers
1
Total Citations
3
H-Index
1
About
Ilham Junias Angkotasan is a researcher focused on the design and control of autonomous underwater vehicles (AUVs), with particular expertise in fuzzy logic systems. His most cited work, "Design Depth and Balanced Control System of an Autonomous Underwater Vehicle with Fuzzy Logic" (2020), addresses the challenge of creating stable, self-regulating underwater robots that can operate without manual remote control—distinguishing AUVs from ROVs. This contribution is critical for advancing autonomous marine exploration and monitoring. With 3 citations, his work has laid foundational insights into depth and balance control for underwater robotics. Angkotasan’s research is especially relevant for students and engineers interested in intelligent control systems, marine technology, and fuzzy logic applications. His focus on practical, automated solutions for underwater vehicles highlights his commitment to developing robust, real-world robotic systems. As the field of autonomous marine vehicles grows, Angkotasan’s work offers a valuable entry point for understanding the intersection of control theory and underwater robotics.
Research Focus
Key Achievements
Top Papers
- 1