Papers
3
Total Citations
58
H-Index
3
About
Weiwei Ye is a leading researcher in robotics and intelligent manufacturing, with a focus on educational robotics, computer vision, and digital twin technology. Their work bridges the gap between theoretical innovation and practical application, particularly in automated systems and STEM education. Ye’s most cited paper, “A high-accuracy positioning method for mobile robotic grasping with monocular vision and long-distance deviation” (2023, 30 citations), introduces a novel approach that significantly enhances robotic precision in real-world environments, a critical contribution to industrial automation. In educational robotics, Ye designed the iArm, a 6-DOF robotic arm kit (2022, 17 citations), which has been shown to inspire students’ computational thinking and is now making its way into classrooms as an effective information technology education tool. More recently, Ye developed a data-driven digital twin architecture for failure prediction in customized automatic transverse robots (2024, 11 citations), enabling 3D real-time visualization and feedback in smart packaging workshops. This work demonstrates Ye’s commitment to advancing Industry 4.0 through predictive maintenance and system reliability. With a growing citation record and a clear trajectory toward impactful, cross-disciplinary research, Weiwei Ye is a rising figure in robotics and automation.
Research Focus
Key Achievements
Top Papers
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