Xinyuan Su

Papers

Total Citations

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About

Xinyuan Su is a researcher in robotics, with a primary focus on simultaneous localization and mapping (SLAM) and autonomous navigation for mobile robots. Their most-cited work, "SLAM algorithm and Navigation for Indoor Mobile Robot Based on ROS" (2022, 12 citations), makes a significant contribution by systematically comparing the performance of two leading SLAM algorithms—Gmapping and Cartographer—within the Robot Operating System (ROS) framework. This study provides critical insights into mapping accuracy and external contour fidelity, directly addressing a core challenge in robot navigation. Su’s work is highly practical, offering clear guidance for selecting the appropriate SLAM algorithm for indoor environments, a key step toward enabling reliable autonomous movement. While their citation count is still growing, this foundational paper demonstrates a strong technical contribution to the field of mobile robotics, particularly in optimizing the interplay between mapping and path planning. Su’s research is essential reading for students and engineers developing robust navigation systems for service robots, warehouse automation, and other indoor applications.