Sai Ma
Papers
1
Total Citations
7
H-Index
1
About
Sai Ma is a researcher whose work lies at the intersection of intelligent robotics and mining safety, with a particular focus on underground automation and machine vision. His most cited paper, "Application of Roadway Deformation Detection Method Based on Machine Vision for Underground Patrol Robot" (2020, 7 citations), introduces a track-based patrol robot system designed to address critical challenges in coal mine monitoring, including inadequate equipment surveillance, high labor intensity, and roadway deformation. This work demonstrates a practical integration of automatic cruise capabilities with environmental data collection and storage, offering a safer, more efficient alternative to manual inspection. Ma’s contributions are especially relevant to the field of mine safety engineering, where his system provides a foundation for real-time, vision-based hazard detection in hazardous underground environments. While his citation count is still growing, the applied nature of his research—bridging robotics, computer vision, and mining engineering—marks him as an emerging contributor to intelligent industrial monitoring. His work holds promise for reducing human risk and improving operational reliability in resource extraction industries.
Research Focus
Key Achievements
Top Papers
- 1