Weiqiang Zai

Qingdao University of Science and Technology, Qingdao University of Technology

Papers

Total Citations

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About

Weiqiang Zai is a robotics researcher whose work focuses on autonomous navigation, path planning, and sensor fusion for mobile and aerial robots. His major contributions include developing a hierarchical path planning method that fuses an improved A* algorithm with the TEB (Timed Elastic Band) approach, addressing critical issues such as unsmooth path curves and abrupt command changes in wheeled robot navigation. This work, published in 2023, has already garnered 6 citations, reflecting its relevance to practical robotics challenges. Additionally, Zai has advanced multi-sensor fusion SLAM (Simultaneous Localization and Mapping) for indoor aerial robots, tackling the persistent problems of unstable mapping in feature-degraded environments and poor vertical estimation accuracy in LiDAR-based systems. His 2024 paper on this topic, with 3 citations, demonstrates his ongoing commitment to improving autonomous exploration in complex indoor spaces. Through these contributions, Zai is helping to make robot navigation more robust, efficient, and reliable—key steps toward deploying autonomous systems in real-world environments.