Cassie Meeker
Papers
6
Total Citations
129
H-Index
3
About
Cassie Meeker’s research sits at the intersection of rehabilitation robotics, human-machine interaction, and assistive technology, with a focus on restoring hand function after neurological injury. Her major contributions center on developing wearable robotic hand orthoses that are not only therapeutic but also intuitive and user-driven. In her most-cited work, “Multimodal Sensing and Interaction for a Robotic Hand Orthosis” (58 citations), she pioneered control strategies that blend electromyography (EMG) and other sensing modalities to enable seamless, natural operation. Her follow-up study, “User-Driven Functional Movement Training With a Wearable Hand Robot After Stroke” (56 citations), demonstrated the clinical potential of these devices, showing that stroke survivors could actively engage in functional training without bulky workstation constraints. Meeker also advanced teleoperation for non-anthropomorphic robot hands, creating continuous mapping subspaces that allow novice operators to control complex robotic grippers intuitively—work that has been recognized for its elegance and practical impact. Her adaptive, semi-supervised intent inferral methods (2022) further push toward robust, real-world deployment. With over 125 cumulative citations, Meeker’s work is shaping a future where wearable robots are as responsive and adaptive as the humans they assist.
Research Focus
Key Achievements
Top Papers
- 1Multimodal Sensing and Interaction for a Robotic Hand Orthosis58 citations · 2018
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