Zhen Kun Lu

Papers

Total Citations

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About

Zhen Kun Lu is a robotics researcher whose work centers on human-robot interaction and precise localization technologies. His most influential contribution, "A Human-Tracking Robot Using Ultra Wideband Technology" (2018, 47 citations), introduces a novel method for enabling robots to detect and follow human targets by leveraging ultra-wideband (UWB) signals. This approach addresses a critical challenge in service robotics: accurately calculating a target person’s position and orientation in real time. By moving beyond traditional vision-based tracking, Lu’s work offers a robust alternative that performs reliably in cluttered or low-visibility environments. The paper has become a key reference for researchers developing autonomous companion robots, logistics assistants, and collaborative industrial systems. Lu’s research bridges the gap between sensor fusion and practical robotic deployment, demonstrating how UWB can enhance a robot’s spatial awareness and responsiveness. His contributions are particularly valuable for advancing human-robot collaboration, where safe and intuitive following behavior is essential. With growing interest in assistive and service robots, Lu’s work continues to influence the design of more perceptive and autonomous systems.