Papers
1
Total Citations
22
H-Index
1
About
Rui Pan is a researcher in advanced manufacturing, with a focus on robotic additive manufacturing and intelligent path planning. Their most-cited work, "Hybrid path planning method based on skeleton contour partitioning for robotic additive manufacturing" (2023), has garnered 22 citations, reflecting its impact on optimizing deposition strategies for complex geometries. Pan’s key contributions lie in developing hybrid algorithms that combine skeleton-based partitioning with contour-aware path generation, enabling more efficient and structurally sound 3D-printed components. This work addresses critical challenges in robotic fabrication, such as reducing material waste and improving print quality for large-scale or non-planar structures. By integrating computational geometry with manufacturing constraints, Pan’s research bridges the gap between theoretical path planning and practical robotic implementation. Their achievements highlight a commitment to advancing additive manufacturing through data-driven, adaptive methods, offering valuable insights for engineers and researchers working on automated production systems. Pan’s work continues to influence the field, providing a foundation for future innovations in smart manufacturing and digital fabrication.
Research Focus
Key Achievements
Top Papers
- 1