Papers

2

Total Citations

7

H-Index

2

About

Gunseok Park is a researcher at the forefront of intelligent robotics, with a primary focus on enhancing safety and performance in human-robot interaction and rehabilitation technologies. His work is distinguished by the innovative application of deep learning to solve critical engineering challenges. Park’s major contribution includes a pioneering fault diagnosis method for human coexistence robots (HCRs), which uses convolutional neural networks and time-series data generation to proactively prevent safety failures in industrial settings. This work, published in 2023, has already garnered 5 citations, underscoring its relevance to the growing field of collaborative robotics. In parallel, Park has advanced the field of rehabilitation engineering by developing a robotic system for quantitatively estimating trampoline stiffness. This system enables objective assessment of jumping exercises, a crucial step for evaluating low-impact rehabilitation and fitness regimens. Although recently published with 2 citations, this work demonstrates his commitment to bridging robotics with healthcare. Park’s research is notable for its practical impact, directly addressing real-world needs in industrial safety and clinical assessment, and positions him as a rising contributor to the next generation of safe, intelligent robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Fault Diagnosis Method for Human Coexistence Robots Based on Convolutional Neural Networks Using Time-Series Data Generation and Image Encoding
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Korea Institute of Industrial Technology, Kyungpook National University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago