Teaching Bots Learn by Watching Human Behavior - Ep. 67
Published August 22, 2018
|
37 min
    Download
    Add to queue
    Copy URL
    Show notes
    Robots following coded instructions to complete a task? Old school. Robots learning to do things by watching how humans do it? That’s the future. Earlier this year, Stanford’s Animesh Garg and Marynel Vázquez shared their research in a talk on “Generalizable Autonomy for Robotic Mobility and Manipulation” at the GPU Technology Conference last week. We caught up with them to learn more about generalizable autonomy - the idea that a robot should be able to observe human behavior, and learn to imitate it in a way that’s applicable to a variety of tasks and situations. Like learning to cook by watching YouTube videos, or figuring out how to cross a crowded room for another.
      15
      15
        0:00:00 / 0:00:00