Rebekah Hazlett
Papers
1
Total Citations
16
H-Index
1
About
Rebekah Hazlett’s research lies at the intersection of assistive robotics, human-robot interaction, and rehabilitation engineering. Her most cited work, a pioneering three-week user study with post-SCI patients, demonstrated how a smart 6DOF assistive robotic manipulator (the UCF-MANUS) could restore autonomy in daily living tasks for individuals with upper limb impairments. By integrating vision-based control, her system allowed users to perform complex manipulations they could not otherwise achieve. This study, with 16 citations, provided early empirical evidence linking robotic assistance to improved user satisfaction and performance—a foundational contribution to the field of assistive robotics. Hazlett’s work highlights the critical balance between autonomy and user control, showing that well-designed assistive robots can significantly enhance quality of life. Her research continues to influence the development of intelligent, user-centered robotic aids for individuals with spinal cord injuries and other mobility impairments, bridging the gap between advanced robotics and practical rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1