Papers
3
Total Citations
29
H-Index
3
About
Jinheng Gu is a leading researcher in intelligent mining robotics, with a focus on autonomous navigation, environmental perception, and robust control for underground coal mine applications. His work addresses the extreme challenges of narrow roadways, heavy dust, and poor illumination that render conventional sensing and control methods ineffective. Gu’s most cited paper (2023, 18 citations) introduces a fusion positioning framework that integrates redundant IMUs with UWB technology, significantly improving localization accuracy for mobile equipment in GPS-denied, interference-heavy underground environments. He further advances perception systems with an adaptive image enhancement method (2024, 6 citations) that uses no-reference quality evaluation to restore clarity in low-visibility conditions, enabling robots to understand their surroundings autonomously. In the domain of control, Gu developed a walking trajectory tracking approach for a rockburst prevention drilling robot (2024, 5 citations), employing a state observer to estimate model uncertainties and a saturation function to mitigate sliding, thereby enhancing robustness and precision. His contributions are foundational for the intelligent, roboticized transformation of coal mining, directly improving safety and operational reliability in hazardous subterranean settings.
Research Focus
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