Alif Wicaksana Ramadhan

Papers

Total Citations

H-Index

About

Alif Wicaksana Ramadhan is a researcher focused on advancing mobile robot navigation and control systems, with a particular emphasis on intelligent optimization techniques. His key research areas include the application of fuzzy logic systems, social force models (SFM), and genetic algorithms to enhance autonomous navigation in dynamic environments. Ramadhan’s major contribution lies in addressing a critical limitation of the Social Force Model—its reliance on manually tuned parameters such as gain, k, and impact range (σ), which often leads to suboptimal performance. By integrating genetic algorithms for adaptive parameter optimization, he has developed a more robust and responsive navigation control system for mobile robots. His most-cited work, "Optimization of Fuzzy Social Force Model Adaptive Parameter using Genetic Algorithm for Mobile Robot Navigation Control" (2023), has garnered 4 citations, demonstrating early recognition of its practical significance in robotics. This achievement highlights his ability to bridge theoretical modeling with real-world application, offering a scalable solution for improving robot behavior in crowded or unpredictable settings. Ramadhan’s research holds promise for advancing autonomous systems in logistics, service robotics, and human-robot interaction.