Krysten Lambeth

University of North Carolina at Chapel Hill, North Carolina State University

Papers

Total Citations

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About

Krysten Lambeth is a pioneering researcher at the intersection of wearable robotics, neuromuscular control, and human-machine interaction. Her work centers on developing intelligent, adaptive control systems for exoskeletons and hybrid assistive devices, with a particular focus on real-time sensing and human volitional effort prediction. Lambeth’s most impactful contribution is the creation of an assist-as-needed (AAN) control framework for cable-driven ankle exoskeletons, which fuses sonomyography and electromyography to estimate muscle activation via a Hill-type neuromuscular model—a breakthrough that has garnered 53 citations since 2023. She has also advanced hybrid exoskeleton technology by integrating real-time ultrasound imaging to optimize shared control between powered exoskeletons and functional electrical stimulation (FES) for individuals with spinal cord injury. Additionally, Lambeth has introduced dynamic active subspaces for model predictive allocation in over-actuated robotic systems, demonstrating her versatility in tackling complex control allocation problems. Her work, cited over 60 times in just a few years, is shaping the future of assistive robotics by making exoskeletons more responsive, intuitive, and tailored to individual user needs—a critical step toward restoring mobility for those with neurological impairments.