Nurnajmin Qasrina Ann

Universiti Malaysia Pahang Al-Sultan Abdullah

Papers

Total Citations

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About

Nurnajmin Qasrina Ann is a robotics researcher whose work focuses on the intersection of computer vision and autonomous navigation. Her key research areas include 3D scene reconstruction, stereo vision systems, and intelligent control optimization for mobile robots. In her most cited work, "Study on 3D scene reconstruction in robot navigation using stereo vision" (2016, 12 citations), she demonstrated how accurate camera calibration and disparity mapping are critical for generating precise 3D coordinates, enabling robots to perceive and navigate complex environments. This foundational contribution has been referenced by peers working on spatial awareness in robotics. Her second major study, "Performance Evaluation of PID Controller Parameters Gain Optimization for Wheel Mobile Robot Based on Bat Algorithm and Particle Swarm Optimization" (2019, 7 citations), showcases her expertise in bio-inspired optimization algorithms. By comparing Bat Algorithm and Particle Swarm Optimization for tuning PID controllers, she provided a practical framework for improving wheeled robot stability and trajectory tracking. Together, these works highlight Ann’s dual focus on perception and control—bridging the gap between how robots see the world and how they move through it. Her research offers valuable insights for students and engineers developing autonomous systems, particularly in resource-constrained or real-time applications.