Papers
3
Total Citations
114
H-Index
3
About
Zhaorong Liu is a researcher whose work bridges environmental science, biophysics, and artificial intelligence, with a focus on high-resolution atmospheric monitoring and the mechanics of microswimmers. Liu’s most cited paper, “High-resolution daily AOD estimated to full coverage using the random forest model approach in the Beijing-Tianjin-Hebei region” (2019, 88 citations), demonstrates a significant contribution to remote sensing and air quality research, providing a machine-learning method to achieve complete spatial coverage of aerosol optical depth (AOD) data—a critical tool for environmental health studies. In biophysics, Liu has explored the propulsion of flagellated microrobots, investigating how the intrinsic curvature of elastic filaments affects swimming efficiency in viscous fluids (2020, 21 citations), work that informs the design of synthetic microswimmers for targeted cargo delivery. More recently, Liu has advanced the intersection of robotics and AI, developing a reset-free hierarchical reinforcement learning framework for chemotactic navigation in robotic swimmers (2025, 5 citations), enabling autonomous, adaptive movement in complex environments. This emerging work highlights Liu’s role in integrating machine learning with bio-inspired robotics, pushing toward intelligent, autonomous microrobots capable of navigating physiological or environmental gradients.
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