Papers
1
Total Citations
22
H-Index
1
About
Yuwei Wang is a researcher focused on intelligent mining and robotic sorting systems, with a particular emphasis on the automation of coal-gangue separation—a critical process in the clean and efficient washing of coal. Their major contribution lies in the design and calibration of a Delta-type parallel robot that integrates image recognition to automatically identify and sort coal and gangue on conveyor belts. Wang’s 2020 paper, “Study on Comprehensive Calibration and Image Sieving for Coal-Gangue Separation Parallel Robot,” which has garnered 22 citations, presents a novel approach to improving sorting accuracy through comprehensive calibration and image sieving techniques. This work addresses a key bottleneck in intelligent coal mine operations, offering a practical solution for real-time, automated separation. By advancing the application of parallel robotics in resource recovery, Wang has laid important groundwork for more sustainable and efficient mining practices. Their research is particularly relevant for students and engineers working at the intersection of robotics, computer vision, and mineral processing.
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