Andrea Brandt

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

Papers

Total Citations

230

H-Index

About

Andrea Brandt is a leading researcher in the field of rehabilitation robotics, specializing in the development of intelligent, adaptive lower-limb prostheses. Her work sits at the intersection of control theory, machine learning, and human motor control, with a primary focus on personalizing robotic knee prostheses for individual amputee users. Brandt’s most impactful contribution is her pioneering application of online reinforcement learning to tune complex control parameters in real-time, a breakthrough that addresses a critical bottleneck in prosthetic technology. Her landmark 2019 paper, "Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis," has garnered 186 citations, demonstrating its significant influence on the field. In this work, she demonstrated that a prosthesis could learn and adapt to a user’s unique gait without requiring manual recalibration by a clinician. Brandt further advanced this concept by developing a human-in-the-loop reinforcement learning framework, enabling the device to optimize its behavior based on direct user feedback. Her 2021 paper, "Taking both sides," explores the symbiotic relationship between intelligent prostheses and human motor control, highlighting her commitment to creating seamless, intuitive human-machine interfaces. Brandt’s research is not only technically innovative but also deeply user-centered, promising to dramatically improve the mobility and quality of life for individuals with lower-limb amputations.