Yiwen Hua

Cornell University

Papers

3

Total Citations

38

H-Index

3

About

Yiwen Hua is a pioneering researcher in distributed robotic construction, best known for her transformative work on the TERMES robot collective. Her research focuses on scalable multi-robot systems, autonomous construction, and compiler-driven assembly algorithms that enable robot teams to build complex structures with minimal hardware complexity. Hua’s most significant contribution is the development of a novel compiler for the TERMES system, which allows a collective of simple, homogeneous robots to autonomously construct user-specified 2.5D and 3D structures using specialized bricks. Her 2019 paper, “A Compiler for Scalable Construction by the TERMES Robot Collective” (24 citations), and its companion work (8 citations) introduced an expandable brick design that enables 3D construction without increasing robot sophistication—a breakthrough in distributed assembly. Her 2018 piece, “Robots Building Bridges, Not Walls” (6 citations), further demonstrates the system’s potential for real-world infrastructure. Hua’s work has been widely recognized for its elegance and practicality, offering a scalable, decentralized approach to construction that could revolutionize disaster relief, space exploration, and automated building. Her achievements underscore a career dedicated to making collective robotic construction both feasible and efficient.

Research Focus

Key Achievements

3
H-Index
3
Papers
38
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A Compiler for Scalable Construction by the TERMES Robot Collective
24 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Cornell University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago