Papers
2
Total Citations
5
H-Index
2
About
Baolin Wu is a researcher whose work lies at the intersection of robotics and advanced manufacturing, with a primary focus on **Robotic Fibre Placement (RFP)** for composite materials. His major contributions address a critical bottleneck in the field: path planning for complex geometries. Wu pioneered algorithms that enable the automated layup of composite fibres on challenging surfaces, including both **open-contoured structures** and **complex closed surface structures**. His research is distinguished by introducing a novel **efficiency and quality evaluation (EQE)** algorithm, which for the first time generates paths based on a tradeoff between layup speed and final part quality—a concept that moves beyond simple geometric coverage to optimize the manufacturing process itself. While his most-cited works, such as "Path optimization for open-contoured structures in Robotic Fibre Placement" (2017) and "A novel path planning algorithm in robotic fibre placement for complex closed surface structures" (2017), have garnered early citations, they represent foundational steps toward theoretically guided path optimization, a long-standing gap in the field. Wu’s work is essential reading for students and researchers seeking to understand the algorithmic underpinnings of next-generation automated composite manufacturing.
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