Papers

4

Total Citations

81

H-Index

2

About

Huiseok Moon is a robotics researcher focused on the intersection of human motion analysis, wearable robotics, and intelligent control systems. His work centers on developing adaptive exoskeletons and legged robots that can seamlessly interact with humans and navigate challenging environments. Moon’s most influential contribution is a fuzzy convolutional attention-based GRU network for human activity recognition, which has garnered 71 citations and represents a significant advance in using deep learning to interpret complex human movement data. He has also made notable contributions to the design of semi-active pneumatic actuators for running exoskeletons, drawing on the spring-loaded inverted pendulum model to create spring-like mechanisms that enhance athletic performance. In the realm of human-robot interaction, Moon proposed a machine-learning framework for online human intention detection, enabling smoother control of lower-limb wearable robots. Additionally, his work on retractable cleat mechanisms for legged robots addresses the critical challenge of maintaining traction on slippery terrain. Through these diverse projects, Moon demonstrates a commitment to making robotic systems more responsive, efficient, and practical for real-world applications.

Research Focus

Key Achievements

2
H-Index
4
Papers
81
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
A fuzzy convolutional attention-based GRU network for human activity recognition
71 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Université Paris-Est Créteil, Sogang University, Paris-Est Sup

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
    Retractable cleat mechanism of legged robots' foot on various terrain
    2 citations · 2018

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago