Let's dance! – Teaching your robot some moves with reinforcement learning

Has this ever happened to you: You just spent €50,000 on a humanoid
robot, but it's not very fun at parties, so you have to train it to
dance using reinforcement learning in a simulation environment on your
€100,000 GPU cluster? What do you mean "NO"?

In this talk, Thomas Endres and David Winderl will teach you how you can
train your humanoid robot to dance using Reinforcement Learning (RL) in
simulation environments. They're gonna kick things off with an
introduction into RL, covering the basics of policies and rewards. After
that, they’ll take their first steps in simulation environments with the
introduction of NVIDIA Isaac Sim and the Unitree RL Lab. Our speakers
will run through the steps of shaping a walking policy, one hilarious
fall at a time. Finally, they're going to shake things up with a dancing
policy: You will learn how you can retarget human motion from videos to
the Unitree G1 robot and train an imitation policy that can dance just
as poorly as you.

For the grande finale, our humanoid robot will close the session with a
dancing performance, not missing out on a single step.