Nurul Hasana
Papers
1
Total Citations
15
H-Index
1
About
Nurul Hasana is a leading researcher in intelligent robotics and autonomous navigation systems, with a focus on enabling mobile robots to operate safely and efficiently in complex, human-centered environments. Her most cited work, "Performance Comparison of Fuzzy Logic and Neural Network Design for Mobile Robot Navigation" (2019, 15 citations), provides a critical comparative analysis of two foundational artificial intelligence approaches for robot guidance. This study not only benchmarks the trade-offs between rule-based fuzzy logic and adaptive neural networks but also advances the practical design of robots intended to substitute or assist humans in dull, dirty, or dangerous settings. By systematically evaluating these control strategies, Hasana has contributed to more robust and responsive navigation algorithms, directly impacting the development of service robots for domestic and industrial applications. Her research bridges the gap between theoretical AI and real-world robotic deployment, offering clear guidelines for selecting appropriate navigation architectures. With a growing citation record, Hasana’s work is increasingly recognized as essential reading for engineers and researchers seeking to build autonomous systems that mimic human physical capabilities while ensuring operational safety and reliability.
Research Focus
Key Achievements
Top Papers
- 1