Guan-Hong Liou

National Cheng Kung University

Papers

1

Total Citations

18

H-Index

1

About

Dr. Guan-Hong Liou is a leading researcher in intelligent robotics and control systems, with a primary focus on developing adaptive algorithms for precision manipulation. His most notable contribution is an intelligent control strategy for robotic arms that leverages adaptive inertia weight and acceleration coefficients in particle swarm optimization (PSO). This work, published in 2019 and cited 18 times, addresses a challenging real-world problem: enabling a five-degree-of-freedom robotic arm to grasp and place water-filled bottles without spilling a single drop. By integrating forward and inverse kinematics with a novel PSO variant, Liou’s approach significantly enhances stability and accuracy in dynamic environments. This achievement has implications for industrial automation, healthcare robotics, and delicate material handling. Liou’s research demonstrates a rare ability to bridge theoretical optimization algorithms with practical mechanical design, offering robust solutions for tasks requiring both speed and precision. His work continues to inspire advancements in adaptive control, making him a key figure in the evolution of intelligent robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Control Strategy for Robotic Arm by Using Adaptive Inertia Weight and Acceleration Coefficients Particle Swarm Optimization
18 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National Cheng Kung University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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