Papers

3

Total Citations

48

H-Index

3

About

Dr. Minh-Tuan Nguyen is a robotics researcher specializing in trajectory planning and kinematic optimization for industrial manipulators. His work focuses on developing computationally efficient methods to generate smooth, time-optimal joint trajectories—critical for improving precision, reducing wear, and increasing throughput in automated manufacturing. His most impactful contribution is an optimal trajectory generation method using multiquadric radial basis functions (2022, 29 citations), which enables smooth robot motion while minimizing jerk and execution time. He further advanced the field with a kinematic analysis of a 6-DOF robotic arm (2019, 15 citations), providing foundational insights into workspace and singularity analysis. Additionally, his work on smooth and time-optimal trajectory planning using a single polynomial (2019, 4 citations) offers a simplified yet effective approach for industrial applications. Dr. Nguyen’s research bridges theoretical kinematics with practical robotics, making his contributions valuable for both academic researchers and industry engineers seeking to enhance robot performance and reliability.

Research Focus

Key Achievements

3
H-Index
3
Papers
48
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Optimal trajectory generation method to find a smooth robot joint trajectory based on multiquadric radial basis functions
29 citations · 2022
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Hung Yen University of Technology and Education, Feng Chia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago