Zhiqian Wu

Shenzhen University, Doshisha University

Papers

Total Citations

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About

Zhiqian Wu is a researcher specializing in indoor localization and mobile robotics, with a focus on integrating smartphone-based sensors for high-precision navigation. Their key research areas include sensor fusion, inertial navigation, and human-robot interaction. Wu's most notable contribution is the development of a tight integration framework combining Wi-Fi RTT, encoders, and inertial sensors for robot indoor localization using smartphones, as detailed in their 2023 paper, which has garnered 24 citations. This work addresses the challenge of achieving accurate localization in indoor environments where GPS is unavailable, leveraging ubiquitous smartphone technology to make robotics more accessible. Earlier work includes a 2021 study on fusing inertial sensors, encoders, and map matching for smartphone-based robot localization, and a 2012 paper on neural network-based path prediction for human-accompanying mobile robots. Wu's research demonstrates a consistent focus on practical, low-cost solutions for indoor robot navigation, with potential applications in domestic and public service robotics. Their work is particularly relevant for students and researchers interested in sensor fusion, localization algorithms, and the integration of consumer electronics into robotic systems.