Shuo Pei
Papers
2
Total Citations
3
H-Index
1
About
Shuo Pei is a rising researcher in rehabilitation robotics, with a focused expertise in the design and control of upper-limb exoskeletons for post-stroke recovery. Their work centers on developing intelligent, patient-responsive systems that promote natural movement and active neural remodeling. Pei’s major contribution lies in advancing **assist-as-needed (AAN) control frameworks**, which dynamically adjust robotic support based on a user’s real-time effort, encouraging active participation rather than passive movement. This approach is critical for accelerating neuroplasticity and functional recovery. Pei has also developed an **inverse kinematics framework using a vector method** for complex 2R-3R-2R exoskeleton architectures, solving a key challenge in precise, naturalistic motion planning. While early in their career, Pei’s work has already garnered citations (2 for their AAN controller paper and 1 for their kinematics framework), signaling growing interest from the rehabilitation and human-robot interaction communities. Their research bridges mechanical design, control theory, and clinical application, aiming to make robotic therapy more adaptive, effective, and accessible for stroke survivors.
Research Focus
Key Achievements
Top Papers
- 1
- 2