Papers
4
Total Citations
57
H-Index
3
About
Eryi Hu is a pioneering researcher in the field of intelligent robotics and autonomous systems for hazardous environments, with a primary focus on coal mine safety and rescue operations. His groundbreaking work on rescue robots for explosion accidents in coal mines has garnered 38 citations, establishing a critical foundation for life-saving robotic interventions in post-disaster scenarios. Hu’s major contributions include the development of a multimodal robust simultaneous localization and mapping (SLAM) approach driven by geodesic coordinates, which enables mobile robots to achieve accurate pose estimation and real-time 3D scene reconstruction in complex underground environments—a challenge that has long hindered autonomous navigation in mines. His innovative S-shaped rolling gait for snake robots, designed using curve transformations, allows these machines to climb bifurcated pipes, demonstrating bio-inspired solutions for inspection and rescue in confined spaces. More recently, Hu has advanced deep learning with CSAInvNet, a multinetwork collaborative framework for ground-penetrating radar-based 3D inversion imaging of coal seam anomalies, enabling real-time sensing for shearer robots. With a citation trajectory that underscores his growing influence, Hu’s work bridges robotics, geophysics, and disaster response, making him a key figure in the next generation of autonomous mining technologies.
Research Focus
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