Zhendong Ji

China University of Mining and Technology

Papers

Total Citations

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About

Zhendong Ji is a leading researcher in intelligent robotics and disaster response systems, with a primary focus on coal mine rescue technologies and computer vision. His most-cited work, “Coal Mine Rescue Robots Based on Binocular Vision: A Review of the State of the Art” (2020, 66 citations), provides a comprehensive analysis of how binocular vision systems can enhance robotic perception in hazardous underground environments. Ji’s research addresses critical challenges in post-accident rescue operations, where human safety is paramount and environmental conditions are unpredictable. By integrating stereo vision with robotic platforms, his work enables more accurate depth perception, obstacle detection, and autonomous navigation in low-visibility, debris-filled settings. This contribution has significant implications for reducing rescue worker risk and improving mission efficiency. Ji’s scholarship is widely recognized for bridging theoretical advances in computer vision with practical, life-saving applications in mining safety. His ongoing research continues to push the boundaries of autonomous systems for extreme environments, making him a key figure in the development of next-generation rescue robotics.