Ziang Hu

Papers

Total Citations

H-Index

About

Ziang Hu is a researcher specializing in robotics, computer vision, and sensor calibration, with a particular focus on hand-eye coordination systems for industrial automation. Their most cited work, "Research on Hand-eye Calibration Method Based on Binocular Camera" (2022), introduces an innovative approach using a three-dimensional calibration ball to enhance the accuracy of Eye-in-hand calibration. By fixing a binocular camera to the end of a six-axis robotic arm and controlling its movement across various positions, Hu developed a method to acquire precise point cloud data, significantly improving the alignment between robotic manipulation and visual perception. This contribution addresses a critical challenge in autonomous robotic systems, enabling more reliable object manipulation and assembly tasks. With 2 citations, this foundational paper demonstrates Hu's ability to bridge theoretical calibration techniques with practical engineering solutions. Their work holds promise for advancing precision in manufacturing, logistics, and collaborative robotics, making Hu a rising voice in the integration of vision and motion control.