Zhiyuan Yang
Papers
1
Total Citations
22
H-Index
1
About
Zhiyuan Yang is a leading researcher in intelligent mining robotics, with a primary focus on parallel robot design and machine vision for coal-gangue separation. His most cited work, "Study on Comprehensive Calibration and Image Sieving for Coal-Gangue Separation Parallel Robot" (2020, 22 citations), makes a significant contribution to the automation of coal washing. In this paper, Yang introduces a novel Delta-type parallel robot capable of automatically identifying and sorting scattered coal and gangue on conveyor belts using image recognition. This work addresses a critical bottleneck in intelligent mining by integrating comprehensive calibration techniques with real-time image sieving, enabling the robot to achieve high-speed, precise sorting. By bridging the gap between computer vision and robotic manipulation in harsh industrial environments, Yang’s research directly supports the transition toward fully automated, smart coal mines. His contributions are particularly notable for their practical impact on resource efficiency and worker safety, marking him as an innovator in the application of parallel robotics to mineral processing.
Research Focus
Key Achievements
Top Papers
- 1