Kun-Jui Wu

National Taiwan Normal University

Papers

1

Total Citations

2

H-Index

1

About

Kun-Jui Wu is a robotics researcher whose work centers on the modeling and control of complex robotic systems, with a particular emphasis on multi-degree-of-freedom (DOF) manipulators. His key contributions lie in addressing the highly nonlinear dynamics of robotic arms through advanced control strategies. In his most-cited work, Wu employs the Denavit-Hartenberg (D-H) convention to derive precise kinematic and dynamic models for a 6-DOF robotic arm. To tackle the inherent nonlinearity of these models, he innovatively applies Takagi-Sugeno (T-S) fuzzy modeling for linearization, and then optimizes PID controller parameters using Particle Swarm Optimization (PSO). This integrated approach demonstrates a sophisticated method for achieving stable and precise motion control. Though early in his career, Wu's research is gaining recognition for its practical approach to a fundamental challenge in robotics, bridging theoretical modeling with intelligent optimization to enhance the performance of industrial manipulators.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Controller with the PID Parameters Optimization by PSO for a 6-DOF Robotic Arm
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: National Taiwan Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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