Papers

15

Total Citations

212

H-Index

8

About

Zhenghui Sha is a pioneering researcher at the forefront of swarm manufacturing and multi-robot additive manufacturing, whose work is reshaping how we think about scalable, distributed fabrication. His research centers on cooperative 3D printing (C3DP), a transformative paradigm in which fleets of mobile printing robots collaborate to manufacture complex parts faster and more flexibly than conventional single-printer approaches. Sha's foundational contributions include the development of chunk-based printing strategies—where parts are geometrically decomposed into segments assigned to individual robots—alongside sophisticated scheduling algorithms ranging from decentralized rule-based systems to optimization-driven and generative approaches. His investigations into resource-constrained scheduling, multi-robot path planning, and collision-free layer-wise printing have collectively established a rigorous technical foundation for realizing swarm manufacturing at scale. Notable innovations such as LayerLock and NoodlePrint demonstrate his creativity in leveraging novel geometric interlocking structures to maximize concurrency and structural integrity. With his most-cited works accumulating tens to nearly forty citations each, Sha's scholarship has attracted meaningful attention from robotics, manufacturing, and computational design communities alike. His body of work offers students and practitioners an essential roadmap for understanding the algorithmic, mechanical, and systems-level challenges inherent in next-generation cooperative manufacturing.

Research Focus

Key Achievements

8
H-Index
15
Papers
212
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Decentralized and Centralized Planning for Multi-Robot Additive Manufacturing
38 citations · 2022
📈 Most Prolific Year: 2025 (4 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: The University of Texas at Austin, University of Arkansas at Fayetteville, Walker (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago