Liqi Zhu

Papers

Total Citations

H-Index

About

Liqi Zhu is a researcher advancing the field of human-robot interaction, with a focus on autonomous navigation and socially aware robotic behaviors. Her key research areas include ultra-wideband (UWB) localization, human-following robots, and adaptive control systems for mobile robotics. Zhu’s most notable contribution is her work on side-by-side following for human-robot teams, where she developed a UWB-based system that enables robots to maintain a natural, adaptable position alongside a moving person—even during sudden turns. This approach addresses a critical limitation in conventional following robots, which typically trail behind, making interactions less intuitive and comfortable. Her 2022 paper on this topic has garnered 10 citations, reflecting its relevance to improving collaborative robotics in real-world settings. By prioritizing relaxed and friendly HRI, Zhu’s research has implications for assistive technologies, service robots, and autonomous companions. Her work stands out for its practical focus on seamless, non-intrusive robot movement, contributing to the broader goal of integrating robots into daily human environments with greater social intelligence and adaptability.