Mathias Roehring
Papers
1
Total Citations
2
H-Index
1
About
Mathias Roehring’s research centers on autonomous robotic systems for environmental sensing and terrain mapping, with a particular focus on integrating low-cost sensors with high-precision geospatial tools. His major contribution lies in the development of an Autonomous Mapping System (AMS) that combines wheel encoders, an inertial measurement unit (IMU), and survey-grade GNSS RTK receivers on a standard robotic chassis. This work, detailed in his most-cited 2017 paper, systematically quantifies the AMS’s performance against conventional survey instruments, demonstrating that accessible robotic platforms can achieve reliable terrain data collection. Although his citation count remains modest—his leading paper has 2 citations—Roehring’s work is notable for bridging practical field robotics with geodetic accuracy, offering a scalable solution for applications in precision agriculture, construction site monitoring, and environmental surveying. His approach emphasizes reproducibility and cost-effectiveness, making autonomous mapping more accessible to researchers and practitioners. For students and researchers exploring field robotics or low-cost surveying, Roehring’s research provides a foundational case study in balancing sensor fusion, system integration, and real-world validation.
Research Focus
Key Achievements
Top Papers
- 1Development of an autonomous robotic system for terrain mapping2 citations · 2017