Nurnajmin Qasrina Ann Ayop
Papers
1
Total Citations
3
H-Index
1
About
Nurnajmin Qasrina Ann Ayop is a researcher in robotics and control systems, with a particular focus on intelligent optimization algorithms for mobile robot navigation. Her most cited work, "PID Controller Design for Mobile Robot Using Bat Algorithm with Mutation (BAM)" (2019), introduces a novel hybrid approach that enhances the standard bat algorithm with mutation operators to fine-tune PID controllers for mobile robots. This contribution addresses a critical challenge in robotics: achieving precise and adaptive control for robots operating in dynamic environments, with applications spanning industrial automation and domestic assistance. By integrating bio-inspired optimization with classical control theory, Ayop’s research offers a practical solution for improving robot stability, trajectory tracking, and responsiveness—key factors in reducing human risk in hazardous tasks. Her work has garnered attention in the field, with citations reflecting its relevance to ongoing developments in autonomous systems. Ayop’s research underscores the growing intersection of nature-inspired algorithms and real-world robotic applications, positioning her as a contributor to safer, more efficient mobile robot technologies.
Research Focus
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Top Papers
- 1