Papers

3

Total Citations

22

H-Index

2

About

Yu-Chen Chen is a pioneering researcher at the intersection of field robotics and biomedical engineering, whose work spans autonomous search-and-rescue systems and advanced tissue engineering. His most impactful contribution is the development of FPGA-based unmanned aerial and ground vehicles (UAVs/UGVs) for search-and-rescue (SAR) operations, a case study that has garnered 11 citations for demonstrating how reconfigurable hardware can enable precise localization and robust coordination in disaster scenarios. This work addresses the critical need for adaptable, low-latency robotic platforms in life-saving missions. Simultaneously, Chen has broken new ground in biofabrication with his 2025 study on robotic micromanipulation for patterned organoid construction, earning 9 citations. By introducing automated, standardized methods for assembling complex 3D tissue models, he tackles a fundamental bottleneck in regenerative medicine—the lack of reproducibility in organoid manufacturing. His dual expertise in hardware-software co-design and micro-robotics positions him as a unique bridge between autonomous systems and biomedical innovation. Chen’s research not only advances practical SAR robotics but also paves the way for scalable, high-fidelity organoid production, with potential impacts on drug screening and personalized therapy.

Research Focus

Key Achievements

2
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
FPGA-based UAV and UGV for search and rescue applications: A case study
11 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: National Taitung University, Harbin Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago