Robotic Knee Exoskeleton

Motivation:

Our goal is to design, develop, and evaluate a state-of-the-art autonomous robotic knee exoskeleton to assist individuals with impaired gait patterns, such as children with cerebral palsy who may present with crouch gait or genu recurvatum (knee hyperextension). By leveraging advanced control strategies, such as task-generalizable control, state estimation, and other adaptive machine learning-based frameworks, the exoskeleton can intelligently adapt to different users and dynamically respond to changes across movement phases.

To ensure versatility, the system is built on a plug-and-play architecture, enabling seamless integration with hip exoskeletons for comprehensive lower-limb mobility support. Beyond hardware and software innovation, this project advances the scientific understanding of human locomotion, driving the development of intelligent control algorithms and adjustable hardware that can be personalized for users of diverse ages, health conditions, and body proportions.

Team Members

• Rajiv Josh

• Ilseung Park

• Min Seo Kim

• Ray Sarabu