Zizheng Sun
Papers
2
Total Citations
36
H-Index
2
About
Dr. Zizheng Sun is a pioneering researcher at the intersection of intelligent robotics and geotechnical engineering, with a primary focus on autonomous tunnel construction safety. His work addresses the critical need to replace human workers in hazardous underground environments through advanced robotic systems. Dr. Sun’s major contributions include developing an intelligent robot for rock mass structure detection, demonstrated in a case study at the Letuan Tunnel in Shandong, China, which has garnered 18 citations for its practical impact on geological hazard assessment. He further advanced the field by creating a lightweight tunnel obstacle detection system based on an improved YOLOv5 algorithm, also cited 18 times, which overcomes the limitations of manually controlled robots by enabling autonomous obstacle avoidance. This innovation directly tackles the high accident rates at tunnel construction sites, offering a safer alternative for dangerous tasks. Dr. Sun’s work is notable for its direct application to real-world infrastructure projects, bridging the gap between computer vision, robotics, and civil engineering to enhance worker safety and operational efficiency in underground construction.
Research Focus
Key Achievements
Top Papers
- 1
- 2Lightweight Tunnel Obstacle Detection Based on Improved YOLOv518 citations · 2024