… In this paper, we take a similar approach to developing robot parkour on a small low-cost robot with imprecise actuation and a single front-facing depth camera for perception which is low-frequency, jittery, and prone to artifacts. We show how a single neural net policy operating directly from a camera image, trained in simulation with largescale RL, can overcome imprecise sensing and actuation to output highly precise control behavior end-to-end. We show our robot can perform a high jump on obstacles 2x its height, long jump across gaps 2x its length, do a handstand and run across tilted ramps, and generalize to novel obstacle courses with different physical properties.
That’s intense. Is this the creator’s account?
Are you asking if I am a bot?
No, beg pardon. I was asking if it was your robot.
Please, do not beg pardon. It was only a misunderstanding. You can find the creators on X. I have added the source in the description. Bests
