Li-Yu Chien

National Taiwan University

Papers

2

Total Citations

13

H-Index

2

About

Li-Yu Chien is a leading researcher in rehabilitation robotics, with a focus on developing intelligent exoskeleton systems for motor recovery. Her primary research areas include human-robot interaction, electromyography (EMG)-based intention prediction, and active control strategies for assistive devices. Chien’s major contributions center on the design and control of the NTUH-II exoskeleton robot, a platform aimed at addressing shoulder joint impairments caused by neurological and orthopedic disorders. Her most cited work, "Interactive torque controller with electromyography intention prediction implemented on exoskeleton robot NTUH-II" (2017, 9 citations), introduces a novel approach that integrates EMG signals to predict user intent, enabling smoother and more responsive torque assistance during therapy. This innovation directly tackles the challenge of insufficient muscle strength and altered firing patterns in patients. Her earlier study, "Active control with force sensor and shoulder circumduction implemented on exoskeleton robot NTUH-II" (2016, 4 citations), demonstrates the use of force sensors to enhance active control during circumduction exercises, reducing the strenuous workload on therapists while improving patient outcomes. Chien’s work is notable for bridging the gap between clinical rehabilitation needs and advanced robotic control, offering scalable solutions for intensive training. Her research continues to influence the development of user-adaptive exoskeletons, making her a key figure in the field of assistive robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Interactive torque controller with electromyography intention prediction implemented on exoskeleton robot NTUH-II
9 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: National Taiwan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago