Wankuan Huang

Southern University of Science and Technology

Papers

Total Citations

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About

Wankuan Huang is a researcher specializing in indoor localization, mobile robotics, and sensor fusion, with a focus on enhancing the accuracy and affordability of positioning systems. His most-cited work, "Linear Bayesian Filter Based Low-Cost UWB Systems for Indoor Mobile Robot Localization" (2018, 12 citations), introduces a novel approach to ultra-wideband (UWB) localization by integrating linear Bayesian filtering with a regression-based calibration model. This system leverages miniaturized, high-updating-rate UWB sensors to correct range measurement errors, significantly improving the reliability of indoor robot navigation without the need for expensive hardware. Huang’s contributions address critical challenges in real-time, low-cost localization, making advanced robotics more accessible for applications in warehouses, factories, and autonomous vehicles. His work demonstrates a practical blend of theoretical filtering techniques and hardware optimization, earning recognition among peers for its potential to bridge the gap between research and deployment. With a growing citation footprint, Huang continues to influence the development of robust, scalable localization solutions for dynamic environments.