Tai Jiaxiang

Papers

Total Citations

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About

Tai Jiaxiang has made significant contributions to the field of mobile robotics, with a primary focus on path tracking control and autonomous navigation. His most notable work, "Path Tracking Control of Wheeled Mobile Robot Based on Improved Pure Pursuit Algorithm" (2019), addresses a critical limitation in conventional Pure Pursuit algorithms—poor tracking accuracy due to sensitivity to preview distance. By developing an enhanced version of the algorithm, Tai improved the precision and robustness of wheeled robot path following, a fundamental challenge in autonomous systems. This work has garnered 29 citations, reflecting its practical relevance and impact on subsequent research in mobile robot control. Tai's research is particularly valuable for applications in logistics, agriculture, and service robotics, where reliable path tracking is essential. His contributions demonstrate a deep understanding of kinematic constraints and real-time control, positioning him as a thoughtful researcher in the intersection of algorithm design and robotic implementation. For students and researchers exploring autonomous navigation, Tai's work offers a clear example of how incremental algorithmic improvements can yield substantial performance gains in real-world robotic systems.