Sensors are a huge challenge for robotics. We have very precise force-feedback on our joints, pressure and heat (temperature gradient) sensors all over our body, and our hands have a sensor density that allows us to count needle heads and detect the exact grip strength needed by feeling the micro-slippage of objects in our hands. Robots don't have that.

You can do backflips with pretty much just visual sensors for your environment, a good IMU for your spatial orientation, and some feedback on the position of a small number of really beefy joints and the force exerted on them. Folding laundry and opening doors is much more difficult, and trying to compensate with mostly vision requires going slow enough that things have time to move over appreciable distances before you take the next adjustment

Xiaomi robots do this in double digit seconds.

Still slow compared to humans, but Chinese robots will be as successful as Chinese EVs, phones and solar panels.

You must not have been paying attention to development with robots, there are many videos of robots moving really fast in "non controlled environments"

Wait til the robots get on Cerebras, it'll set your pants on fire.

Have LLMs improved at being able to process physics-based problems and environments? I remember that issue being discussed around generative gaming a while ago but I hadn't heard much about it recently.