Yanhong Ge

Papers

Total Citations

H-Index

About

Yanhong Ge is a robotics researcher whose work focuses on human-robot interaction, particularly the development of intuitive and accessible human-following systems for mobile robots. Her key research areas include low-cost sensor integration, real-time human detection, and autonomous tracking algorithms. Ge’s most notable contribution is her 2019 paper, "Human Following of Mobile Robot With a Low-cost Laser Scanner," which has garnered 7 citations and addresses a critical challenge in assistive robotics: enabling robots to follow humans reliably without expensive hardware. In this work, she decomposes the human-following task into three core processes—detection, tracking, and following—and introduces an improved method that leverages a low-cost laser scanner to enhance adaptability and affordability. This approach makes human-following technology more accessible for real-world applications, such as service robots in homes or hospitals. By prioritizing cost-effectiveness without sacrificing performance, Ge’s research bridges the gap between advanced robotic capabilities and practical deployment, offering a scalable solution for everyday human-robot collaboration. Her work continues to inspire innovations in accessible robotics and autonomous navigation.