Zihui Guo

Institute of Electrical Engineering

Papers

1

Total Citations

8

H-Index

1

About

Dr. Zihui Guo is a leading researcher in rehabilitation robotics, with a focus on adaptive human-robot interaction for stroke recovery. Her most-cited work, "Adaptive trajectory planning of lower limb rehabilitation robot based on EMG and human-robot interaction" (2016), addresses critical limitations in conventional rehabilitation training—namely, the lack of personalized, safe, and comfortable therapy. By integrating electromyography (EMG) signals with real-time human-robot interaction, Dr. Guo developed a novel adaptive trajectory planning method that allows rehabilitation robots to respond dynamically to a patient’s muscle activity and movement intent. This breakthrough enhances both the safety and efficacy of lower limb rehabilitation, offering a more natural and engaging training experience. With 8 citations, her work has laid the groundwork for smarter, patient-centered robotic therapy. Dr. Guo’s contributions are pivotal in bridging the gap between robotic precision and human adaptability, advancing the field toward more intuitive and effective clinical rehabilitation solutions. Her research continues to inspire innovations in assistive robotics and neurorehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive trajectory planning of lower limb rehabilitation robot based on EMG and human-robot interaction
8 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Institute of Electrical Engineering

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago