Kyle Gray
Papers
1
Total Citations
94
H-Index
1
About
Kyle Gray is a leading researcher in rehabilitation robotics, with a focus on developing innovative technologies to restore hand function after neurologic injury. His most cited work, the FINGER (Finger Individuating Grasp Exercise Robot), represents a major contribution to stroke rehabilitation. The 2014 paper, with 94 citations, details the design and preliminary evaluation of this device, which assists patients in performing naturalistic, individual finger curling motions—a critical challenge in post-stroke recovery. By integrating a musical computer game interface, Gray’s approach transforms repetitive therapy into an engaging, motivating experience, directly addressing the need for high-intensity, task-specific training. His work demonstrates how robotic systems can precisely control the difficulty of finger individuation tasks, enabling quantified, adaptive rehabilitation. This research has significant clinical impact, offering a scalable tool to improve motor recovery and patient engagement. Gray’s contributions bridge engineering and neuroscience, positioning him as a key innovator in assistive robotics and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1