Amril Nazir

Papers

Total Citations

113

H-Index

About

Dr. Amril Nazir is a leading researcher in mobile robotics and computational intelligence, whose work has significantly advanced autonomous navigation. His primary research areas include path planning, meta-heuristic optimization, and swarm intelligence algorithms for robotic systems. Dr. Nazir’s most impactful contribution is his development of an improved genetic algorithm for mobile robot path planning in static environments, a seminal paper that has garnered 107 citations and set a new benchmark for efficiency in route optimization. He further expanded the field by introducing the Enhanced Firefly Algorithm (EFA), a novel meta-heuristic technique that outperforms traditional methods in generating collision-free, optimal paths. This work, published in 2024, demonstrates his ability to refine nature-inspired algorithms for practical robotics applications. Dr. Nazir’s research is distinguished by its focus on computational efficiency and real-world applicability, making complex path planning more accessible for autonomous systems. His achievements underscore a commitment to solving fundamental challenges in mobile robotics, inspiring both students and fellow researchers to explore the intersection of evolutionary computation and intelligent navigation.