Zhaoqi Guo
Papers
2
Total Citations
20
H-Index
2
About
Zhaoqi Guo is a researcher at the forefront of rehabilitation robotics and human-robot interaction, with a focus on developing intelligent, safe, and adaptive systems. His work bridges the gap between biosignal processing and mechanical design, aiming to restore motor function and enhance collaborative robotics. Guo’s most influential contribution is his 2022 study on motion intention prediction for stroke survivors, which integrates surface electromyography (sEMG) signals with an attention mechanism to decode upper limb movements. This work, garnering 18 citations, offers a promising pathway for more intuitive and responsive prosthetic and rehabilitation devices. In a parallel innovation, Guo introduced the Origami-Inspired Variable Stiffness Actuator (OVSA) in 2023. By borrowing from origami principles, he designed a lightweight, compact actuator with a transformable hexagonal structure that can dynamically adjust its stiffness. This breakthrough directly addresses the critical need for safe physical human-robot interaction, allowing robots to be both compliant and strong as needed. Through these contributions, Guo is shaping a future where robots are not only smarter but also safer and more attuned to human needs.
Research Focus
Key Achievements
Top Papers
- 1
- 2