David Forkel
Papers
1
Total Citations
4
H-Index
1
About
David Forkel is a robotics engineer whose work bridges autonomous systems and high-energy physics infrastructure. His primary research focuses on adaptive radiation surveying, autonomous navigation in hazardous environments, and the application of LiDAR-based mapping for large-scale scientific facilities. Forkel’s most notable contribution is the development of an autonomous robot capable of executing LiDAR scans within the Large Hadron Collider (LHC), a breakthrough that enables safer, more efficient radiation monitoring in one of the world’s most extreme operational settings. His 2023 paper, "Adaptive Radiation Survey Using an Autonomous Robot Executing LiDAR Scans in the Large Hadron Collider," has garnered 4 citations, reflecting its early but significant impact on the emerging field of robotic inspection for particle accelerators. This work not only demonstrates a novel integration of robotics and nuclear safety but also sets a precedent for future autonomous maintenance in radiation-prone environments. Forkel’s research is particularly valuable for students and engineers interested in field robotics, sensor fusion, and the practical deployment of autonomous systems in high-stakes scientific infrastructure.
Research Focus
Key Achievements
Top Papers
- 1