Yuemeng Ma
Papers
2
Total Citations
4
H-Index
1
About
Yuemeng Ma is a robotics researcher whose work focuses on advancing adaptive manufacturing through intelligent robotic control. Her primary research areas include robotic manipulation, adaptive grinding planning, and hierarchical optimization for industrial automation. Ma’s major contributions lie in developing sophisticated planning frameworks that enable robotic arms to autonomously perform uniform grinding on complex workpieces—a challenging task requiring precise estimation and real-time adaptation. In her 2024 paper, she introduced a double-layer planning framework integrating parameterized cost estimation with dynamic hierarchical optimization, achieving autonomous uniform grinding without human intervention. Her 2025 work extends this approach to tubular workpieces of varying sizes, orientations, and surface characteristics, demonstrating robust adaptability. While her citation counts are currently modest (3 and 1 citations), these recent publications represent foundational contributions to adaptive manufacturing robotics. Ma’s work addresses critical industry needs for flexible automation, potentially reducing human labor in precision grinding tasks. Her hierarchical optimization approach offers a novel solution to the long-standing challenge of balancing grinding quality with computational efficiency, marking her as an emerging researcher in industrial robotics and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 2