Robotics for Personalized Motor Skills Instruction

Abstract

Despite their ubiquitous role in humans' daily activities and occupations, motor control tasks, such as driving or sports, are rarely taught in a uniform way due to their high complexity and variance. My work focuses on the problem of personalized instruction of motor control tasks, and seeks to leverage robotic technology to improve human motor learning. This includes designing methods for more effective modeling of student learning dynamics, leveraging skill-discovery algorithms to construct personalized training curricula, and training language models to provide students rich and constructive feedback.