Bui Duc Hong Phuc

University of Tulsa

Papers

3

Total Citations

24

H-Index

3

About

Bui Duc Hong Phuc is a leading researcher in the modeling, estimation, and control of soft robotics, with a particular focus on fabric-reinforced inflatable systems. His work addresses fundamental challenges in making soft robots more predictable and controllable during physical interaction. Phuc’s major contributions include the development of a novel lumped-parameter discretization method that models continuum soft robots as a series of discs connected by inextensible threads and springs. This tractable ordinary differential equation formulation, presented in his 2022 paper (7 citations), enables efficient dynamic simulation. Building on this, he pioneered a semilinear parameter-varying observer architecture that can simultaneously estimate configuration space variables, their rates of change, and contact forces—a critical capability for robots operating in confined spaces. His 2021 papers (10 and 7 citations) demonstrate how this observer can dramatically improve state estimation when contact forces alter robot dynamics. Collectively, his work has garnered over 24 citations and represents a significant step toward making soft robots more autonomous and reliable in real-world applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Semilinear Parameter-Varying Observer Method for Fabric-Reinforced Soft Robots
10 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Tulsa

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
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