Papers

4

Total Citations

27

H-Index

3

About

Hao Duan is an emerging robotics and control systems researcher whose work spans teleoperation, legged locomotion, and construction automation. His most influential contribution lies in developing novel control frameworks for bilateral teleoperation systems — a challenging domain where communication time delays can destabilize robot-human interaction. His 2024 paper introducing the Unknown System Dynamics Estimator (USDE)-based control scheme, already accumulating 13 citations, offers an elegant solution for handling lumped uncertainties in variable-delay environments without requiring explicit system dynamics models. Complementing this, his adaptive control work on bilateral teleoperators advances parameter estimation while guaranteeing system compliance, reflecting a sophisticated understanding of robust robotics control theory. Beyond teleoperation, Duan demonstrates broad mechanical design expertise. His 2022 quadruped robot design — featuring a lightweight, modular parallel-leg architecture — has garnered 9 citations, highlighting its relevance to the legged robotics community. More recently, his work on an autonomous rebar-tying robot addresses real-world construction challenges by replacing labor-intensive manual processes with fully automated systems. Together, these contributions paint the picture of a versatile researcher bridging theoretical control design with practical robotic engineering, establishing a promising foundation for future high-impact work.

Research Focus

Key Achievements

3
H-Index
4
Papers
27
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A USDE-Based Control for Bilateral Teleoperation Systems With Time-Varying Delays
13 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Kunming University of Science and Technology, Shanghai University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago