Aqil Aqthobilrobbany

Papers

Total Citations

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About

Aqil Aqthobilrobbany is a researcher in autonomous robotics and intelligent navigation systems, with a focus on developing practical, vision-based solutions for unmanned vehicles. His most cited work, "HSV Based Robot Boat Navigation System" (2020, 24 citations), presents a novel approach to autonomous surface vessel guidance using color-space segmentation, enabling robust path-following without explicit human control. This contribution addresses a core challenge in robotics: creating reliable navigation systems that can operate in dynamic, unstructured environments. Aqthobilrobbany’s research bridges computer vision and control systems, demonstrating how HSV color filtering can be effectively applied to real-world robotic platforms. His work is particularly relevant for applications in environmental monitoring, search-and-rescue, and maritime autonomy. By focusing on accessible, computationally efficient methods, he has provided a foundation for further advances in low-cost autonomous boat navigation. His contributions continue to influence researchers working at the intersection of embedded systems, sensor processing, and autonomous vehicle control.