Roaj Betouber
Papers
1
Total Citations
2
H-Index
1
About
Roaj Betouber is a specialist in geodetic monitoring and surveying robotics, with a primary focus on improving the accuracy and reliability of deformation measurements in challenging environments like open-pit mines. His key research centers on the detection and elimination of gross errors in monitoring data collected by surveying robots, a critical challenge when dealing with environmental interferences such as refraction and blasting vibrations. Betouber’s most cited work, “Model of Gross Error Elimination for Monitoring Data Collected by A Surveying Robot” (2014), proposes a robust statistical framework to filter out anomalous readings, thereby enhancing the integrity of 3D slope monitoring systems that rely on robotic total stations and Geomos software. While his citation count remains modest, his contribution addresses a practical, industry-relevant problem: ensuring that automated monitoring systems yield trustworthy data for hazard prevention. Betouber’s research is particularly valuable for mining engineers and geotechnical professionals who depend on precise, real-time deformation analysis to mitigate landslide risks. His work exemplifies the intersection of applied robotics and geodetic science, offering a methodological foundation for future advances in automated environmental surveillance.
Research Focus
Key Achievements
Top Papers
- 1