Mengjiao Ma

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About

Dr. Mengjiao Ma is a leading researcher in indoor positioning and mobile robotics, with a primary focus on overcoming signal interference in ultra-wideband (UWB) systems. Her most-cited work, "Improved Extreme Learning Machine Based UWB Positioning for Mobile Robots with Signal Interference" (2022, 17 citations), introduces a novel hybrid approach that integrates a genetic algorithm (GA) with an extreme learning machine (ELM) to both classify signal interference and compensate for positioning errors. This contribution directly addresses a critical challenge in autonomous navigation—maintaining accuracy in cluttered or obstructed environments. By combining binary classification with error compensation, Dr. Ma’s method significantly enhances the robustness of UWB-based localization for mobile robots. Her research bridges machine learning and sensor fusion, offering practical solutions for real-world applications in logistics, industrial automation, and service robotics. With a growing citation footprint, Dr. Ma is recognized for advancing intelligent positioning systems that are both adaptive and computationally efficient, making her work essential reading for engineers and researchers in robotics and indoor navigation.