Interactive world simulator for robot policy training and evaluation

Source: Robohub·2026-07-20 16:39Publish time unverified

Imagine you want to teach a robot to push an object on a table. The standard recipe in robot learning is to collect hundreds of expert demonstrations on a real robot, train an imitation learning policy on that data, and then evaluate the policy by running it many times on the same real robot.