Hasib Ul Sakib

Papers

Total Citations

H-Index

About

Hasib Ul Sakib is a robotics and autonomous systems researcher whose work bridges artificial intelligence, path planning, and real-world navigation. His most-cited paper, "Autonomous Rover Navigation Using GPS Based Path Planning" (2017, 16 citations), addresses a critical challenge in deploying robots in environments too hazardous or inaccessible for humans. By integrating GPS with intelligent path-planning algorithms, Sakib’s research enables rovers to traverse unstructured terrains autonomously—a contribution that has influenced subsequent work in field robotics and disaster response. His focus on making machines more perceptive through AI and machine learning has practical implications for planetary exploration, agriculture, and search-and-rescue operations. Though early in his career, Sakib’s work demonstrates a clear trajectory toward robust, real-world autonomy. His research is particularly relevant for students and engineers interested in the intersection of perception, control, and navigation, offering a foundation for building robots that can operate independently in complex, unpredictable environments.