Yanru Bai

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Yanru Bai is a robotics researcher whose work centers on human-robot interaction, sensor fusion, and autonomous navigation. Her most notable contribution is the development of a human-tracking robot using ultra-wideband (UWB) technology, detailed in her highly cited 2018 paper (47 citations). This work introduced a novel method for detecting and calculating a target person’s position and orientation, enabling robots to follow humans with greater precision and reliability. By leveraging UWB’s superior accuracy over traditional sensors like cameras or LiDAR, Bai addressed critical challenges in dynamic environments, such as occlusion and signal interference. Her research has significant implications for assistive robotics, healthcare, and industrial automation, where seamless human-robot collaboration is essential. Bai’s work stands out for its practical, real-world applicability, bridging the gap between theoretical sensor systems and deployable robotic platforms. With a growing citation impact, she is recognized for advancing the field of mobile robotics and human-tracking systems, making her a key figure in the development of intelligent, context-aware robots that can safely and effectively operate alongside people.