Qize Yi

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Total Citations

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About

Qize Yi is a robotics researcher whose work focuses on advancing autonomous navigation and control systems for service and specialized robots. His key contributions lie in path planning and motion control, addressing critical challenges in real-world robotic applications. Yi’s most impactful work, “An Improved RRT* Path Planning Algorithm for Service Robot” (2020), has garnered 18 citations, proposing a refined version of the Rapid-exploring Random Tree* algorithm to overcome issues like high memory usage and slow convergence in complex environments—a significant step toward more efficient service robot navigation. Additionally, his research on “Optimal Control Algorithm of Working Speed of Deicing Robot Based on Fuzzy PID” (2020) tackles the practical problem of optimizing de-icing robot efficiency through fuzzy PID control, establishing a speed regulation model for real-time adjustments. With a total of 22 citations across his top papers, Yi demonstrates a commitment to bridging theoretical algorithms with tangible robotic performance, making his work valuable for students and researchers exploring autonomous systems, particularly in service and industrial robotics.