May 20, 2021

Hey everyone, I am one of the authors of the paper described in this article. We used reinforcement learning and recurrent neural networks to learn a controller which can ascend and descend stairs without any vision-based perception, meaning that it must rely entirely on proprioception to walk. This is the first time (to our knowledge) that a human-sized bipedal robot has been able to climb real-world stairs blind to the world, and we're pretty excited about the results of this research.

Here's a link to the Arxiv submission:

And here's the accompanying video:

And an uninterrupted five-minute video of a test on an outdoor staircase:

Happy to answer any questions the HN crowd may have!

May 19, 2021

Demonstration Video: