Shiquan Yi

Northwestern Polytechnical University, Tokyo Institute of Technology

Papers

Total Citations

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About

Shiquan Yi is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and mobile robot perception. With a research career spanning over a decade, Yi has made meaningful contributions to both vision-based and LiDAR-based approaches to robot autonomy, addressing real-world challenges such as computational efficiency and reliable operation in complex environments. Yi's early work tackled the difficult problem of vision-based SLAM and navigation in crowded, dynamic environments — a scenario where many existing methods struggled — earning sustained recognition with citations that reflect its continued relevance to the robotics community. More recently, Yi's research has pushed into the realm of lightweight LiDAR odometry, culminating in the development of Light-LOAM, a graph-matching-based SLAM system designed specifically for computation-limited platforms. This 2024 contribution has already attracted 43 citations, signaling rapid and significant uptake within the field. Taken together, Yi's body of work reflects a consistent focus on making autonomous robot systems more reliable, efficient, and deployable in real-world conditions — qualities that are increasingly critical as robotics moves from controlled laboratories into everyday human environments.