I might be misunderstanding your comment so sorry if so. Robots have sensors and RL is a thing, they can collect real world data and then processing and consolidating real world experiences during downtime (or in real time), running simulations to prepare for scenarios, and updating models based on the day's collected data. The way I saw it that I thought was impressive was the robot understood the scene, but didn't know how the scene would respond to it's actions, so it gens videos of the possible scenarios, and then picks the best ones and models it's actuation based on it's "imagination".