Tae Won Park

Ajou University

Papers

2

Total Citations

11

H-Index

2

About

Tae Won Park is a researcher whose work lies at the intersection of robotics, dynamics, and mechanical reliability. His primary research areas include fatigue life prediction, dynamic simulation, and the mechanical design of humanoid and industrial robots. Park’s major contributions involve developing computational methods to improve robot durability and control accuracy. In his most cited work, "Fatigue life prediction of a cable harness in an industrial robot using dynamic simulation" (2008, 8 citations), he introduced a simulation-based approach to predict mechanical failure, directly enhancing the reliability of industrial automation systems. His earlier study on joint compliance for biped robots (2006, 3 citations) addressed a critical gap in humanoid walking stability by incorporating flexible joint effects into dynamic models, enabling more realistic simulations and robust control algorithms. Though his citation counts are modest, Park’s work has practical significance for engineers designing safer, longer-lasting robotic systems. His research demonstrates how detailed mechanical modeling can bridge the gap between theoretical dynamics and real-world robot performance, making his contributions valuable for both industrial applications and the advancement of humanoid robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Fatigue life prediction of a cable harness in an industrial robot using dynamic simulation
8 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Ajou University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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