Ribhan Zafira Abdul Rahman
Papers
1
Total Citations
12
H-Index
1
About
Ribhan Zafira Abdul Rahman is a researcher in intelligent control systems and robotics, with a focus on enhancing conventional controller designs through the integration of fuzzy logic. Her most-cited work, "Effect of Fuzzy Logic Controller Implementation on a Digitally Controlled Robot Movement" (1970, 12 citations), demonstrates that while advanced intelligent control cannot fully replace traditional methods, it can significantly improve performance and adaptability when embedded into existing frameworks. This contribution highlights a pragmatic approach to robotics—bridging classical and intelligent control to achieve more responsive, efficient movement. Though her citation count is modest, her work underscores a key principle in control engineering: the value of hybrid systems that leverage both proven and emerging techniques. Rahman’s research is particularly relevant for students and engineers exploring practical implementations of fuzzy logic in real-world robotic platforms, offering a foundation for further innovation in adaptive control. Her career reflects a dedication to incremental, applied advancements that make robotic systems smarter without discarding established engineering foundations.
Research Focus
Key Achievements
Top Papers
- 1