Nancy Zhang

University of Louisville Hospital, University of Louisville

Papers

Total Citations

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About

Dr. Nancy Zhang is a pioneering researcher at the intersection of robotics and healthcare, whose work focuses on developing intelligent robotic systems to enhance patient safety and caregiver well-being. Her primary research areas include human-robot interaction, adaptive robotics, and technology acceptance in clinical settings. Dr. Zhang’s major contributions center on the design and evaluation of robotic assistants for fall prevention—a critical issue in healthcare. Her most cited paper, “Perceived Usefulness of Robotic Technology for Patient Fall Prevention” (2024, 9 citations), applies the Technology Acceptance Model to assess how healthcare providers perceive robotic aids, providing foundational insights for real-world implementation. Additionally, her work on the “Neural Human Intent Estimator for an Adaptive Robotic Nursing Assistant” (2024, 3 citations) introduces a novel, model-free neural network that enables the Adaptive Robotic Nursing Assistant (ARNA) to predict human intent during interactions, improving safety and performance in dynamic environments. This innovation represents a significant step toward seamless human-robot collaboration in nursing. With a growing citation impact, Dr. Zhang’s research is shaping the future of assistive robotics, bridging engineering and clinical practice to create safer, more responsive healthcare technologies.