Papers
5
Total Citations
66
H-Index
3
About
Qun Hao is a researcher specializing in optical coherence tomography (OCT), robotic imaging systems, and intelligent sensing technologies. His most impactful contributions center on expanding the capabilities of OCT — a powerful non-invasive, three-dimensional imaging modality — by integrating robotic assistance to overcome the inherent field-of-view limitations that have long constrained conventional systems. His 2021 work on robotic-arm-assisted flexible large field-of-view OCT (29 citations) and his 2023 follow-up employing structured light cameras for automated wide-field imaging (27 citations) together represent a significant step forward in making OCT more versatile for biomedical diagnosis and industrial inspection. Beyond optical imaging, Hao has pursued depth estimation challenges in agricultural robotics, proposing a novel binocular stereo vision algorithm to improve harvesting robot performance in orchards. His work further extends into soft robotics, addressing high-voltage power supply design for dielectric elastomer actuators, and autonomous 3D reconstruction through next-best-view planning frameworks. With research spanning medical imaging, robotics, and advanced sensing, Hao exemplifies interdisciplinary innovation, making his work highly relevant to students and researchers working at the intersection of optics, automation, and intelligent systems.
Research Focus
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