Papers

2

Total Citations

30

H-Index

2

About

Duo Fu is a researcher specializing in advanced control systems for mobile robotics, with a particular focus on uncertain and underactuated systems. His major contributions lie in developing novel constraint-following control approaches that address the challenges of real-world robotic operation under hard constraints. In his highly cited 2021 paper, "Controlling an uncertain mobile robot with prescribed performance" (21 citations), Fu introduced methods to ensure reliable robot behavior despite system uncertainties. His equally significant work, "Constraint-following servo control for an underactuated mobile robot under hard constraints" (9 citations), presents a groundbreaking formulation that treats underactuated mobile robot control as a servo constraint-following problem. This approach uniquely handles both servo soft constraints (expressed as equalities) and hard constraints, enabling robots to maintain stability and performance even when physical limitations are severe. Fu's research bridges theoretical control theory with practical robotic applications, offering robust solutions for autonomous systems operating in unpredictable environments. His work is particularly valuable for students and researchers working on mobile robot navigation, constrained control systems, and real-time robotic applications where safety and performance are paramount.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Controlling an uncertain mobile robot with prescribed performance
21 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Hunan University, South China University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago