#257: Learning Robot Objectives from Physical Human Interaction, with Andrea Bajcsy and Dylan P. Losey

In this interview, Audrow speaks with Andrea Bajcsy and Dylan Losey about a method that allows robots to infer a human's objective through physical interaction. They discuss their approach, the challenges of learning complex tasks, and on their experience collaborating between different universities. Some examples of people working with the more typical impedance control (left) and Bajcsy and Losey's learning method (right).