Chelsea Finn discusses the motivation behind her work on meta learning in robotics, aiming to enable robots to leverage previous experience and quickly solve new tasks. She explains how the idea of embedding gradient descent into the meta learning process led to the mammal paper, which showed promising results in initial experiments.
