Lingyi Xu

University of Chinese Academy of Sciences, Shandong Institute of Automation, Chinese Academy of Sciences

Papers

Total Citations

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About

Lingyi Xu is a robotics researcher whose work centers on monocular vision measurement, relative position estimation, and the design of marsupial robotic systems. Her most-cited paper, "A new monocular vision measurement method to estimate 3D positions of objects on floor" (2017, 16 citations), introduces a practical approach for determining three-dimensional positions from a single camera, a technique with broad applications in autonomous navigation and robotic manipulation. In her earlier work, "The identifier-based relative position estimation for leader-follower robotic system" (2014, 4 citations), Xu developed a monocular vision method using color-coded identifiers—green and red blocks—to enable a follower robot to estimate the leader robot’s relative position, advancing cooperative multi-robot coordination. She also contributed to the design of a mother robot for marsupial robotic systems (2014, 2 citations), featuring a multi-floor docking station for deploying, retrieving, and transporting smaller child robots. Xu’s research demonstrates a focused effort on enabling robots to perceive their environment and collaborate effectively, with her monocular vision work offering a cost-effective solution for 3D spatial understanding. Her contributions are particularly relevant for students and researchers interested in vision-based robotics, multi-robot systems, and practical sensing methods for real-world deployment.