Ilham Junius Angkotasan
Papers
1
Total Citations
3
H-Index
1
About
Ilham Junius Angkotasan is a researcher at the forefront of intelligent underwater robotics, with a primary focus on autonomous navigation systems and sensor-based control. His most cited work, "Artificial Intelligence in Underwater Robot Navigation Using Sonar Sensors with Fuzzy Logic Method" (2019), addresses the critical challenge of obstacle avoidance in dynamic underwater environments. By applying fuzzy logic to manage the inherent uncertainty of sonar sensor inputs and outputs, Angkotasan developed a robust automatic navigation system capable of predicting and controlling robot movement in real time. This contribution is particularly significant for autonomous underwater vehicles (AUVs) operating in complex, unstructured settings where traditional control methods often fail. With 3 citations, his paper has provided a foundational framework for integrating artificial intelligence into marine robotics, influencing subsequent studies on adaptive navigation. Angkotasan’s work bridges the gap between theoretical AI and practical underwater applications, offering a scalable solution for environmental monitoring, underwater exploration, and defense-related missions. His research continues to inspire students and engineers seeking to enhance the autonomy and reliability of underwater robotic systems.
Research Focus
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Top Papers
- 1