Jiaqi Guo

City University of New York

Papers

1

Total Citations

31

H-Index

1

About

Jiaqi Guo is a leading researcher in soft robotics and wearable assistive technologies, with a primary focus on rehabilitation engineering and human–machine interfaces. Their most cited work, "A soft robotic exo-sheath using fabric EMG sensing for hand rehabilitation and assistance" (2018, 31 citations), introduces a novel soft hand exo-sheath integrated with fabric-based electromyography (EMG) sensors. This design overcomes the rigidity and bulkiness of traditional exoskeletons, enabling natural, comfortable assistance for stroke and spinal cord injury (SCI) patients during daily activities. By combining soft actuation with intuitive EMG control, Guo’s contribution directly addresses critical limitations in wearable robotics—improving user compliance and functional recovery. This work has been influential in shaping the next generation of lightweight, sensor-rich rehabilitation devices. Guo’s research continues to push boundaries in soft sensing and actuation, with the potential to transform clinical and home-based therapy. Their innovative approach to merging textile-based electronics with robotic assistance marks a significant step toward accessible, user-centered rehabilitation technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
31
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
A soft robotic exo-sheath using fabric EMG sensing for hand rehabilitation and assistance
31 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: City University of New York

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago