Papers
2
Total Citations
18
H-Index
2
About
Deyong Yang is a robotics researcher whose work centers on mobile robot calibration, kinematic modeling, and agricultural automation. His most-cited paper, "Calibration for Odometry of Omnidirectional Mobile Robots Based on Kinematic Correction" (2019, 15 citations), addresses a fundamental challenge in robotics: improving the accuracy of odometry for three-wheeled omnidirectional platforms. By modeling kinematic parameter errors as a multivariate linear equation, Yang developed a systematic calibration method that enhances robot localization precision—a critical contribution for applications in warehouse logistics, service robotics, and industrial automation. His more recent work, "Crack removal of carrot based on the Cartesian robot with a novel path planning method" (2024, 3 citations), demonstrates an innovative crossover into agricultural robotics, applying Cartesian robot control to food processing tasks. This research showcases Yang's versatility in adapting robotic principles to real-world problems, from precision navigation to automated quality control. With a growing citation footprint, Yang's contributions are particularly valuable for students and researchers interested in mobile robot calibration techniques and the integration of robotics in agriculture.
Research Focus
Key Achievements
Top Papers
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