Doohoe Lee

Ajou University

Papers

3

Total Citations

63

H-Index

3

About

Doohoe Lee is pioneering the intersection of bio-inspired robotics and human–robot interaction, with a focus on creating more intuitive and safer robotic systems. His key research areas include flapping-wing drone control, tactile sensing for safety, and novel human interface devices. Lee’s most notable contribution is his work on wing-strain-based flight control for flapping-wing drones, where he uses reinforcement learning to replicate the wind-sensing abilities of insects—drawing inspiration from mechanoreceptors like campaniform sensilla. This 2024 paper has already garnered 42 citations, signaling its impact on the future of agile, bio-inspired aerial robotics. In parallel, Lee has advanced safe human–robot collaboration through the design of a sensitive balloon sensor (17 citations) that prioritizes human safety during physical interaction. His 2024 work on an intuitive six-degree-of-freedom human interface device further demonstrates his commitment to making robotic control more natural and accessible. By combining insights from biology, control theory, and sensor design, Lee is shaping the next generation of robots that can fly like insects and interact with humans as safely as partners.

Research Focus

Key Achievements

3
H-Index
3
Papers
63
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Wing-strain-based flight control of flapping-wing drones through reinforcement learning
42 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Ajou University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago