Papers
3
Total Citations
56
H-Index
3
About
Dr. Ziyan Liu’s research bridges artificial intelligence, assistive robotics, and remote sensing, with a focus on enhancing human safety and autonomy. His most impactful work, published in 2021 with 46 citations, introduces a deep reinforcement learning (DRL)-based assistive guiding robot for blind and visually impaired (BVI) individuals. By integrating ultra-wideband (UWB) beacons and semantic feedback, this system enables independent navigation through complex pedestrian environments—a critical step toward accessible mobility. Dr. Liu also advances environmental monitoring through geostationary satellite remote sensing, developing methods to retrieve aerosol types over China (2023, 7 citations), contributing to atmospheric science and public health. In industrial safety, his iterative segmentation approach for detecting and locating high-voltage switchgear components (2022, 3 citations) supports automated operation equipment, reducing personnel risk in substations. Across these domains, Dr. Liu’s work demonstrates a commitment to applying cutting-edge AI and sensing technologies to real-world challenges, from empowering vulnerable populations to improving industrial safety and environmental monitoring.
Research Focus
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Top Papers
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