Ya, they walk like old people. By keeping thier cog over thier feet they are able to stop at any moment without tipping over. That's how old people with diminished motor neuron function walk. Both play it safe because they know they lack the reaction time to prevent a fall once cog is outside their footprint. It is also how one walks when on very slippery surfaces.

According to the article E0 was static, E3 was dynamic.

What none of them did, however, was “learn” (as the title suggests). They used hardcoded algorithms.

All those car companies use A LOT of robotics, automation, and simulation to build cars. They just don't seek for an autonomous sentient humanoids as means to it.

They all have their own predecessors to things like NVIDIA Isaac used for things like worker toolpath planning or for absorbing worker height variances. They just don't use artificial robots with those systems, but use human laborers.

Anyone with even workshop level knowledge or experience in robotics knows we are minimum one whole decade away from humanoids building cars, let alone economically, and there's not going to be much first mover dominance advantages carrying over from doing pre-viability humanoids.

And so they just, keep raking in money from robotics assisted and hand built hybrid cars. Some more some less.

They've done nothing. Because there was nothing to do, back then.

Humanoid robotics wasn't a hardware problem back then, and isn't a hardware problem today. It was, and is, an AI problem at its core. You can make a humanoid robot, but you can't make it do useful things.

This is what's changing today. AI tech is actually advancing enough that "useful humanoid robots" might be within reach.