Xiaodong Ji

Papers

Total Citations

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About

Xiaodong Ji is a pioneering researcher in the field of intelligent mining robotics, with a focused expertise in autonomous navigation and unmanned material distribution systems for underground coal mines. His major contributions center on the development of the Mining Trackless Auxiliary Transportation Robot (MTATBOT), a specialized robotic system designed to address critical challenges in the coal mining industry, including low automation levels, heavy labor demands, and high accident rates. Ji’s work on odometer-assisted inertial measurement for downhole positioning and autonomous driving strategies has laid the groundwork for safer, more efficient underground operations. His most-cited papers, including "Research on Downhole MTATBOT Positioning and Autonomous Driving Strategies Based on Odometer-Assisted Inertial Measurement" (3 citations) and "A Trackless Auxiliary Transportation Robot System for Unmanned Material Distribution of Underground Coal Mine" (2 citations), represent foundational steps toward fully autonomous mining logistics. While still early in his citation impact, Ji’s research is notable for its practical, problem-driven approach to industrial robotics, directly targeting the modernization of hazardous underground environments. His work holds significant promise for transforming coal mine safety and productivity through intelligent automation.