Papers
6
Total Citations
168
H-Index
4
About
Li-Ping Bai is a researcher whose work bridges the critical intersection of semiconductor manufacturing automation and intelligent agricultural robotics. Her primary research areas include scheduling and optimization for cluster tools in wafer fabrication, as well as computer vision and reinforcement learning for fruit-picking and agricultural waste management. Bai’s most impactful contribution is her 2016 paper on optimal one-wafer cyclic scheduling for single-arm multicluster tools with linear topology, which has garnered 134 citations. This work addresses the complex challenge of minimizing cycle time by strategically configuring buffer spaces, directly improving efficiency in advanced semiconductor fabrication. She has also explored the impact of robot waiting time on wafer delay in cluster tools, further refining process control for sub-10nm chip production. More recently, Bai has applied her expertise to digital agriculture, developing a reinforcement learning-based training solution for fruit-picking robot arms and a lightweight YOLOv7 model for orchard garbage detection and classification. Her 2025 work on full-dimensional dynamic convolution for strawberry recognition using YOLOv8 demonstrates her continued innovation in real-time, complex-environment perception. Through this dual focus, Bai contributes to both high-precision manufacturing and sustainable, automated agriculture.
Research Focus
Key Achievements
Top Papers
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- 6Simulation analysis of robot dynamics based on ADAMS2 citations · 2007