Hoang Vu Dao

University of Ulsan

Papers

6

Total Citations

82

H-Index

5

About

Hoang Vu Dao is a leading researcher in advanced robotics control, specializing in the development of robust control strategies for complex robotic systems, including manipulators, hydraulic robots, and dual-arm platforms. His major contributions lie in the integration of active disturbance rejection control, sliding mode observers, and adaptive synchronization techniques to address critical challenges such as model uncertainties, external disturbances, input dead-zones, and output constraints. Notably, his work on output feedback control using a linear extended state observer (LESO) for uncertain manipulators has garnered 31 citations, while his extended sliding mode observer-based admittance control for hydraulic robots has achieved 29 citations, demonstrating significant impact in the field. Dao has also pioneered novel approaches like nonlinear functional observers for robot manipulators and adaptive synchronization sliding mode control for dual-arm robots with unknown control directions. His research is widely recognized for enabling precise, sensor-reduced control in harsh environments, with applications in construction and industrial automation. With over 80 total citations, Dao continues to shape the future of resilient robotic systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
82
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Output Feedback Control via Linear Extended State Observer for an Uncertain Manipulator with Output Constraints and Input Dead-Zone
31 citations · 2020
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Ulsan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago