Aqil Aqthobirrobbany
Papers
1
Total Citations
3
H-Index
1
About
Aqil Aqthobirrobbany is a researcher focused on the intersection of computer vision, robotics, and maritime security. His work centers on developing autonomous systems for marine patrol, with a particular emphasis on enhancing state border surveillance in Indonesia’s vast archipelago. His most cited paper, "Robot Boat Prototype System Based on Image Processing for Maritime Patrol Area" (2022, 3 citations), introduces a novel approach to ship detection and identification using image processing algorithms deployed on an unmanned surface vehicle. This contribution addresses the critical need for efficient, real-time maritime awareness, offering a scalable solution for monitoring illegal fishing, smuggling, and territorial violations. By integrating computer vision with robotic platforms, Aqthobirrobbany’s research demonstrates practical applications for strengthening national security and resource management. Though early in his career, his work has already attracted attention for its relevance to Indonesia’s maritime challenges, laying groundwork for future innovations in autonomous patrol systems. His prototype serves as a proof-of-concept for cost-effective, AI-driven surveillance, positioning him as an emerging voice in applied robotics and maritime engineering.
Research Focus
Key Achievements
Top Papers
- 1