Ahmad Ramli
Papers
1
Total Citations
10
H-Index
1
About
Ahmad Ramli is a researcher specializing in mobile robotics and swarm intelligence, with a focus on advancing autonomous navigation systems. His most-cited work introduces the Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm, a novel approach that significantly enhances global path planning for mobile robots. By integrating alpha and beta guidance mechanisms into the traditional particle swarm optimization framework, Ramli’s algorithm improves convergence speed and path optimality, addressing critical challenges in dynamic and complex environments. This contribution, published in 2025, has already garnered 10 citations, reflecting its immediate relevance and impact in the field. Ramli’s research bridges theoretical optimization techniques with practical robotic applications, offering efficient solutions for real-time navigation. His work is particularly valuable for students and researchers exploring autonomous systems, as it demonstrates how bio-inspired algorithms can be refined to achieve superior performance. Through his innovative methodology, Ramli contributes to the broader goal of creating more intelligent and adaptive robots, making him a notable figure in the ongoing evolution of path planning technologies.
Research Focus
Key Achievements
Top Papers
- 1