Lan Cheng
Papers
1
Total Citations
6
H-Index
1
About
Lan Cheng is a leading researcher in nuclear safety and autonomous radiation detection, whose work bridges robotics and radiological protection. His key contributions focus on developing intelligent systems for hazardous environments, particularly in nuclear power plants. His most influential work, "An Alpha/Beta Radiation Mapping Method Using Simultaneous Localization and Mapping for Nuclear Power Plants" (2022), has garnered 6 citations and introduces a groundbreaking framework that enables mobile robots to autonomously map alpha and beta radiation fields. By integrating SLAM technology with specialized sensors, Cheng's method replaces dangerous manual detection with robotic precision, significantly enhancing worker safety and operational efficiency. This achievement represents a critical step toward fully autonomous nuclear facility monitoring. Cheng's research continues to push boundaries in sensor fusion, radiation mapping algorithms, and mobile robotics for extreme environments. His work not only addresses immediate nuclear safety challenges but also lays the foundation for future applications in decommissioning, waste management, and emergency response. For students and researchers, Cheng's contributions exemplify how interdisciplinary approaches can solve complex real-world problems at the intersection of robotics and nuclear engineering.
Research Focus
Key Achievements
Top Papers
- 1