Rui Ge

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Rui Ge is a robotics researcher whose work centers on human-robot interaction, autonomous navigation, and mobile robot perception. His most cited paper, "Human tracking and following of mobile robot with a laser scanner" (2017, 12 citations), makes a foundational contribution to enabling robots to detect and follow human targets in real-world environments. In this work, Ge proposes a robust method for detecting a person's legs using a laser scanner, addressing critical challenges in human detection, trajectory tracking, and following control. This research has practical implications for service robots, assistive technologies, and collaborative manufacturing, where safe and intuitive human-robot interaction is essential. While his citation count reflects an emerging career, Ge's work is notable for its focus on low-cost, reliable sensing solutions—a key step toward deploying mobile robots in dynamic, human-populated spaces. His contributions help bridge the gap between laboratory prototypes and real-world robotic assistants, making him a promising voice in the field of autonomous mobile robotics.