Xuezhi Wang

Northeastern University, RMIT University

Papers

Total Citations

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About

Xuezhi Wang is a researcher specializing in robotics, trajectory planning, and precision mechanical systems. Their work bridges the gap between theoretical kinematics and practical autonomous navigation. A key contribution is the development of a nonlinear equivalent method for analyzing error sensitivity in spatial parallel robots, a study that has garnered 9 citations for its rigorous approach to understanding how clearance affects robotic accuracy. This foundational work is critical for designing high-precision robotic systems. In a more recent and application-driven study, Wang tackled the challenge of dynamic trajectory planning for autonomous underwater vehicles (AUVs) using the Rapidly-exploring Random Tree (RRT) algorithm. This 2019 paper, with 5 citations, specifically addresses the complex problem of guiding an AUV back to a moving recovery vessel using only passive, angle-only sensors. This work demonstrates a practical, sensor-constrained approach to real-time path planning in dynamic environments. Wang’s research is notable for combining deep theoretical analysis with tangible, mission-critical applications, making their work relevant for engineers and researchers in both parallel robotics and autonomous navigation.