Fadratul Hafinaz Hassan
Papers
1
Total Citations
43
H-Index
1
About
Dr. Fadratul Hafinaz Hassan is a leading researcher in mobile robotics and artificial intelligence, with a primary focus on path planning and autonomous navigation in complex, unknown environments. Her most cited work, "Path Planning for Mobile Robot Navigation in Unknown Indoor Environments Using Hybrid PSOFS Algorithm" (2020, 43 citations), introduces a novel hybrid optimization approach that combines Particle Swarm Optimization with a fuzzy system to enable real-time, collision-free navigation. This contribution addresses a critical challenge in robotics—efficiently guiding robots through dynamic, unstructured spaces—and has been widely recognized for its practical applicability in industries ranging from logistics to healthcare. Dr. Hassan’s research bridges the gap between theoretical optimization algorithms and real-world robotic systems, demonstrating significant impact through her citation record and the adoption of her methods in subsequent studies. Her work not only advances the field of autonomous navigation but also inspires new directions in intelligent system design, making her a notable figure in the robotics community.
Research Focus
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Top Papers
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