In most demos, yes. Though they have managed to do things that vaguely seem correct, in very specific tasks in very controlled environments and often showing a behavior you wouldn't want.
Like for example, they got it trained to pull out a dish rack and put a dish in, and push the rack back in. Then a human pulls out the rack and the robot pushes it back in. Which they like to show as it responding to the environment, but in real life the human wanted to do something with the rack, why would the robot incessantly keeping it from being out be desired?
Another one where it could pick up clothes, so long as the clothes were within a set square meter and the background was solid white.
The remote control is the mechanism to try to train them to work independently, but it is a tall order. To get the relatively more straightforward movement of operating a car, they took millions of miles of data to feed it. These robots are aiming for far more intricate work and have a severe lack of access to training data.
Further, imagine any task that becomes very difficult just by putting on gloves. Congratulations, there's a task machine learning can't help with, because they don't have tactile in the input loop.