Blind Reinforcement Learning on Stairs

A team of researchers at Oregon State University has used one of our Cassie robots to demonstrate a robust learned gait that allows for traversal of stairs and other obstacles without any visual knowledge of the environment. Training first in simulation provides for a large training set with minimal risk to hardware.

This remarkable result provides strong evidence for our view that successful locomotion is first and foremost a dynamics problem, and not a perception one. Many of the students involved in this project are now Agility employees and work continues with Digit... stay tuned.

Reposted with permission from the researchers.

Видео Blind Reinforcement Learning on Stairs канала Agility Robotics