Fu Hua

Papers

1

Total Citations

2

H-Index

1

About

Fu Hua is a researcher specializing in robotics and autonomous navigation, with a particular focus on underground environments. His work centers on the development of perception systems and path planning methods for search and rescue robots operating in hazardous settings, such as coal mines. His most-cited paper, "Research on Topographic Perception System and Path Planning Method of Underground Detection and Search and Rescue Robot in Coal Mine" (2019), addresses critical challenges in enabling robots to perceive complex subterranean terrain and navigate autonomously to locate survivors. Although this work has garnered 2 citations to date, it represents an important step toward improving safety and efficiency in mining rescue operations. Fu Hua's contributions lie at the intersection of robotics, sensor fusion, and disaster response, offering practical solutions for environments where human access is limited or dangerous. His research holds potential for broader applications in underground infrastructure inspection and emergency response, highlighting his commitment to advancing robotic autonomy in high-stakes scenarios.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Research on Topographic Perception System and Path Planning Method of Underground Detection and Search and Rescue Robot in Coal Mine
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago