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...that's how it was in year 2020.

What you're missing is: today, we're nearing the point where actual general purpose robots become viable.

Which means: the purpose of a robot is no longer to sit at a factory line and precisely execute the same exact motions on repeat 24/7. The purpose of the next generation of robots is to learn generalized behaviors, adapt to circumstances, and carry out circumstance-specific actions with active sensor feedback. Which means completely different requirements for effectors.

Which means: repeatability can go get fucked, for one.



> ...that's how it was in year 2020

Humanoid robotics research was pretty popular in the early 2000s already, with remarkable, reproducible results not only in videos. It’s definitively more present in the media now.


The bottleneck for general purpose robots is, and always was, AI.

We've been in a continuous AI breakthrough since 2022. In 2000, this kind of thing was nonexistent.


Without repeatability, good luck tuning your robot to do anything reliable.


Real world isn't "reliable". If a robot can't correct for errors, it's not going to survive out there.




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