معرفی
Aaron J. Young is an Adjunct Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. His research focuses on wearable robotics, exoskeleton control systems, and biomechanical analysis. He specializes in integrating machine learning and AI to enhance mobility assistance technologies for individuals with physical impairments.
Young's work emphasizes real-time systems, including gait estimation, intent recognition, and adaptive assistance strategies for prosthetics and exoskeletons. His projects address challenges in slope navigation, stair climbing, and energy-efficient movement, often collaborating with clinical and engineering teams to translate innovations into practical applications.
Key areas of exploration include exosuit design for hazardous environments (e.g., DOE-EM operations), biomechanical evaluation of manual lifting tasks, and improving post-stroke gait rehabilitation. His research also tackles commercialization barriers for wearable robotics, emphasizing sensor limitations and user-independent control systems.
Recent publications highlight advancements in deep learning for slip detection, data-driven gait phase estimation, and task-agnostic exoskeleton control. His contributions aim to reduce metabolic costs, enhance user safety, and bridge the gap between robotics and clinical needs.
