Stephanie Huang
Papers
1
Total Citations
83
H-Index
1
About
Stephanie Huang is a leading researcher at the intersection of robotics, control theory, and rehabilitation engineering. Her primary focus lies in developing intelligent control frameworks for powered lower limb prostheses—wearable robotic systems designed to restore mobility for amputees. Huang’s most impactful contribution is her pioneering application of Adaptive Dynamic Programming (ADP) to prosthesis control, moving beyond traditional finite state impedance methods. Her seminal 2017 paper, which has garnered 83 citations, introduced a novel ADP-based framework that enables prostheses to learn and adapt their behavior in real-time, optimizing gait and stability for individual users. This work represents a significant leap toward truly autonomous and responsive assistive devices. By bridging advanced control theory with practical rehabilitation needs, Huang’s research directly addresses the challenge of creating prostheses that feel more natural and require less cognitive effort from the wearer. Her contributions are shaping the next generation of intelligent wearable robots, promising to dramatically improve the quality of life for individuals with limb loss.
Research Focus
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Top Papers
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