Yucong Lu

Papers

Total Citations

H-Index

About

Yucong Lu is a pioneering researcher in human-robot interaction and multisensor fusion, whose work has laid critical groundwork for safer collaborative robotics. His most-cited paper, "Multisensor System for Safer Human-Robot Interaction" (2006, 17 citations), introduces an innovative framework that integrates multiple passive infrared sensors, color cameras, and microwave sensors to automatically locate and track humans near robots. This system, supported by dual PCs for data collection and fusion, addresses a fundamental challenge in industrial and service robotics: ensuring human safety without compromising operational efficiency. Lu’s approach to sensor fusion and real-time tracking has influenced subsequent designs for collision avoidance and shared workspaces. His contributions are particularly notable for their practical, systems-level thinking, combining hardware integration with robust signal processing. While his citation count reflects a focused but impactful body of work, Lu’s research remains a touchstone for engineers developing intuitive, safe human-robot interfaces. For students and researchers, his work exemplifies how thoughtful sensor integration can bridge the gap between autonomous systems and human presence.