Amalia Eka Rakhmania

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About

Amalia Eka Rakhmania is a robotics researcher whose work focuses on intelligent autonomous navigation and real-time vision systems for mobile robots and unmanned aerial vehicles (UAVs). Her major contributions lie in developing computationally efficient algorithms that enable robots to adapt to dynamic, obstacle-rich environments. Her most cited work, "Mobile Robot Path Planning in a Trajectory with Multiple Obstacles Using Genetic Algorithms" (2021, 38 citations), addresses the critical limitation of traditional path planning methods that are too computationally expensive to adapt to new environments. By leveraging genetic algorithms, she created an optimal path planning solution that allows robots to navigate quickly and flexibly around multiple obstacles. In complementary work on "Online Digital Image Stabilization for an Unmanned Aerial Vehicle (UAV)" (2020, 19 citations), Rakhmania tackled the challenge of obtaining stable, real-time video feeds from UAVs that lack sophisticated stabilization hardware. Her novel framework significantly improves image quality during aerial monitoring, directly impacting applications in surveillance, search-and-rescue, and environmental inspection. With a combined citation count exceeding 57 for these two key papers, Rakhmania is establishing herself as a promising voice in practical, adaptive robotics.