Fenglei Wang
Papers
2
Total Citations
11
H-Index
2
About
Fenglei Wang is a researcher whose work sits at the intersection of robotics, manufacturing, and mobile sensing, with a focus on improving precision and efficiency in industrial automation. His most-cited paper, "Robot pose optimization based on spectral clustering guided MOSSA considering the flexibility of robot structure and mounting base" (2025, 7 citations), introduces a novel optimization method that accounts for structural flexibility—a critical factor often overlooked in rigid-body robot models. This work has immediate implications for high-accuracy tasks like machining and assembly. In a complementary vein, his study "Exploring the effectiveness of using a smartphone for position-oriented process monitoring" (2023, 4 citations) demonstrates how ubiquitous mobile devices can serve as low-cost, accessible tools for real-time positional tracking in manufacturing environments. By bridging advanced algorithmic optimization with practical, sensor-based monitoring, Wang’s contributions offer scalable solutions for smart factories. His research is particularly notable for addressing real-world constraints—such as base flexibility and equipment accessibility—that challenge traditional automation. With a growing citation footprint, Fenglei Wang is establishing himself as a thoughtful innovator in applied robotics and digital manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2