Jinqi Chen

Papers

Total Citations

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About

Jinqi Chen is a robotics researcher whose work centers on affordable, practical solutions for autonomous navigation, with a particular focus on Simultaneous Localization and Mapping (SLAM) for small mobile robots. Chen’s most cited paper, "A fast mapping for small mobile robot scanned by single line Lidar" (2022), addresses a critical challenge in robotics: enabling low-cost platforms to build accurate environmental maps in real time. By leveraging a single-line LiDAR sensor—a far more economical alternative to expensive 3D scanners—Chen developed a fast mapping algorithm that allows small, self-propelled robots to perform work planning and patrol monitoring in indoor environments. This contribution is especially valuable for applications in home automation, warehouse logistics, and security patrols, where cost and computational efficiency are paramount. While still early in their career, with 2 citations on this foundational work, Chen’s approach demonstrates a clear commitment to democratizing advanced robotic capabilities. Their research bridges the gap between high-end SLAM systems and practical, deployable robots, making autonomous navigation more accessible for small-scale and budget-constrained projects. For students and researchers interested in accessible robotics, Chen’s work offers a compelling example of how clever algorithmic design can overcome hardware limitations.