Linghong Zhou
Papers
2
Total Citations
16
H-Index
2
About
Linghong Zhou is a researcher at the forefront of precision imaging and sensor calibration, with a focus on enhancing the accuracy and accessibility of robotic and diagnostic systems. Their primary research areas include computed tomography (CT) imaging calibration, robotic system integration, and open-source sensor development. Zhou’s most notable contribution is the development of a knowledge-based self-calibration method for calibration phantoms, specifically designed to improve the accuracy of robot-based CT imaging systems. This work, published in 2021 with 14 citations, addresses a critical challenge in medical imaging by enabling autonomous, high-precision calibration without manual intervention. Additionally, Zhou pioneered an open-source calibration platform for whisker sensors using 3D printing technology in 2024, demonstrating a commitment to democratizing research tools and reducing costs for sensor development. This platform has already garnered 2 citations and represents a significant step toward accessible, reproducible sensor calibration. Zhou’s work bridges the gap between theoretical calibration algorithms and practical, low-cost hardware solutions, making a tangible impact on both clinical imaging and robotics research. Their achievements underscore a dedication to precision, innovation, and open science.
Research Focus
Key Achievements
Top Papers
- 1
- 23D Printer Based Open Source Calibration Platform for Whisker Sensors2 citations · 2024