Jinzhou Zhang

Changsha University of Science and Technology

Papers

Total Citations

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About

Dr. Jinzhou Zhang’s research focuses on advancing indoor positioning and autonomous navigation systems, particularly for epidemic prevention robots (EPRs) operating in high-stakes healthcare environments. His most cited work, “A location method based on UWB for ward scene application” (2021), tackles a critical challenge: balancing cost and accuracy in indoor localization. By leveraging ultra-wideband (UWB) technology, Zhang proposed a practical, low-cost alternative to vision-based systems, achieving reliable positioning in wards and consultation rooms—essential for robots delivering supplies or disinfecting during influenza outbreaks. Though early in its citation impact (4 citations), this paper has laid groundwork for scalable, affordable robotic solutions in infection control. Zhang’s contributions are especially timely, addressing real-world demands for automation in pandemic response. His work underscores a commitment to bridging engineering innovation with public health needs, offering a template for future research in cost-effective, high-accuracy indoor navigation. As the field grows, Zhang’s UWB-based approach stands as a foundational step toward safer, more efficient healthcare robotics.