Grace Hunt
Papers
2
Total Citations
78
H-Index
2
About
Grace Hunt is a leading researcher in the field of robotic prosthetics and exoskeletons, with a focus on restoring and augmenting human locomotion through advanced neural control systems. Her work centers on two key areas: developing intelligent lower-limb prostheses that can seamlessly integrate with a user's natural movement, and creating EMG-driven exoskeletons that provide adaptive, torque-based assistance during walking. In her most cited paper (2021, 54 citations), Hunt introduced a shared neural control framework for a robotic knee and ankle prosthesis, enabling users to perform complex movements like standing, squatting, lunging, and walking—a significant leap beyond the capabilities of conventional passive devices. Her second highly cited work (2021, 24 citations) tackled a critical challenge in exoskeleton control: maintaining robust torque predictions from electromyography despite the non-linear reorganization of locomotor output under active assistance. This breakthrough has profound implications for real-world applications, where user-exoskeleton interactions are dynamic and unpredictable. Hunt's research has been recognized for its potential to transform rehabilitation and mobility assistance, bridging the gap between human neuromechanics and robotic systems. Her contributions are shaping the next generation of assistive devices that are more responsive, intuitive, and effective for individuals with lower-limb impairments.
Research Focus
Key Achievements
Top Papers
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