Yuexing Han

Shanghai University, National Institute of Advanced Industrial Science and Technology

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About

Dr. Yuexing Han is a pioneering researcher at the intersection of robotics, computer vision, and biomedical imaging, whose work bridges autonomous navigation and intelligent diagnostics. His most impactful contribution, a novel mobile robot navigation method based on hand-drawn paths (13 citations), revolutionizes human-robot interaction by enabling robots to interpret instinctive human route planning—a leap toward intuitive, cognition-driven automation. This work addresses a critical gap in static and dynamic path planning, offering a paradigm shift from waypoint-dependent systems to human-like spatial reasoning. In computer vision, Han developed PDDNet, an end-to-end object detection framework for real-world plant leaf disease diagnosis (2 citations), advancing precision agriculture through robust, real-time pathogen identification. His earlier work includes automatic recognition of DNA pliers in atomic force microscopy images (2 citations), showcasing cross-disciplinary expertise in nanoscale biological structure analysis, and acquisition of object pose from barcodes for robot manipulation (2 citations), enhancing industrial automation. With a portfolio spanning robotics, agricultural AI, and molecular imaging, Han’s research demonstrates a rare ability to translate complex perceptual challenges into deployable solutions, making him a notable figure in applied intelligent systems.