Papers
1
Total Citations
2
H-Index
1
About
Chang Ge is a researcher specializing in precision manufacturing and robotic automation, with a particular focus on advanced calibration techniques for industrial robotics. His work addresses critical challenges in robotic grinding and machining, where high accuracy is essential for quality control. Ge’s most-cited paper, "Dimensionality reduction calibration of a robotic grinding head’s 3D coordinate system using a 1D laser sensor" (2025), introduces an innovative method that simplifies complex 3D calibration by leveraging a single-dimensional laser sensor, significantly reducing computational overhead while maintaining precision. This contribution has already garnered 2 citations, signaling its relevance to the field of robotic metrology and sensor integration. Ge’s research bridges the gap between theoretical calibration models and practical industrial applications, offering cost-effective solutions for real-time process optimization. His work is particularly notable for its emphasis on dimensionality reduction, a technique that enhances efficiency in automated manufacturing environments. As a rising researcher, Chang Ge is poised to impact the development of smarter, more adaptable robotic systems for high-precision tasks.
Research Focus
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Top Papers
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