Yunqi Lv

Papers

Total Citations

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About

Yunqi Lv is a researcher specializing in robotics, fault detection, and control systems, with a particular focus on two-wheeled inverted pendulum (TWIP) robots. Their most cited work introduces an innovative fault detection strategy using an improved Principal Component Analysis (PCA) method for a TWIP robot equipped with a center of gravity self-adjusting mechanism. This contribution addresses a critical challenge in mobile robotics: maintaining stability while enabling dynamic performance. By enhancing the robot’s ability to detect and respond to faults in real time, Lv’s research advances the reliability and safety of autonomous systems. Though early in their career, with 2 citations on this key paper, Lv’s work demonstrates a strong foundation in applied control theory and mechatronics. Their research holds promise for applications in agile robotics, where balancing precision and robustness is essential. Lv’s focus on self-adjusting mechanisms and fault-tolerant design marks them as an emerging voice in the field of intelligent robotic systems.