Faruk Ahmed
Papers
1
Total Citations
2
H-Index
1
About
Faruk Ahmed is a researcher in autonomous systems and underwater robotics, with a focus on integrating guidance, navigation, and image processing for intelligent motion planning. His most cited work, "Design of an integrated guidance & navigation planner (i-GNP) for image processing-assisted motion planning of an autonomous underwater vehicle" (2025), introduces a novel framework that combines real-time visual data with navigation algorithms to enhance the autonomy and efficiency of underwater vehicles. This contribution addresses critical challenges in unstructured marine environments, enabling safer and more adaptive operations. While his citation count is still growing—with 2 citations to date—the work represents a promising step toward practical, vision-guided autonomy in subsea exploration and monitoring. Ahmed’s research sits at the intersection of robotics, computer vision, and control systems, offering a pathway for future advances in autonomous underwater vehicles. His approach to integrating image processing directly into the guidance loop distinguishes his work and signals potential for broader impact in marine robotics and environmental sensing.
Research Focus
Key Achievements
Top Papers
- 1