Xueqi Cheng

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About

Xueqi Cheng is a leading researcher in mobile robotics and autonomous navigation, with a focused expertise in developing robust systems for complex industrial environments. His major contributions center on the integration of multi-sensor fusion and omni-directional vision to enable reliable robot operation in challenging settings, such as electrical substations requiring 24/7 all-weather inspection. Notably, his 2010 work on GPS and dead reckoning (DR) integration, which has garnered 23 citations, introduced an adaptive federated Kalman filtering algorithm for precise localization in GPS-denied or degraded areas. Complementing this, his 2009 study on omni-directional vision (12 citations) pioneered the use of near-infrared illumination and artificial landmark recognition, allowing robots to navigate and inspect autonomously around the clock. Cheng’s research is distinguished by its practical, real-world validation through extensive experiments, bridging the gap between theoretical sensor fusion and field-deployable solutions. His achievements have laid critical groundwork for intelligent inspection robots, significantly enhancing safety and efficiency in industrial infrastructure maintenance.