Khan Foysol
Papers
1
Total Citations
39
H-Index
1
About
Khan Foysol is a researcher whose work lies at the intersection of autonomous systems and path planning, with a particular focus on unmanned aerial vehicles (UAVs). His most-cited paper, "Different Cell Decomposition Path Planning Methods for Unmanned Air Vehicles—A Review" (2020), has garnered 39 citations, establishing a foundational resource for researchers exploring safe and efficient navigation strategies in complex environments. In this comprehensive review, Foysol systematically analyzes cell decomposition techniques—including exact, approximate, and adaptive methods—highlighting their trade-offs in computational efficiency, completeness, and adaptability for real-time UAV operations. His contribution provides a critical roadmap for selecting appropriate path planning algorithms, directly impacting the development of autonomous drones used in surveillance, agriculture, and disaster response. By synthesizing diverse approaches and identifying open challenges, Foysol has helped bridge theoretical robotics with practical UAV applications, making his work a valuable reference for students and engineers alike. His research underscores the importance of algorithmic design in enabling reliable autonomous flight, positioning him as a thoughtful contributor to the evolving field of intelligent aerial systems.
Research Focus
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Top Papers
- 1