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> I guess we must be missing something...

There's a whole ton of unsolved problems:

- no true autonomy in chaotic/dynamic environments

- powering these machines for longer timespans is currently impossible (batteries endurance is measured in minutes, not hours)

- high skill level required for operating these machines (again - they're not autonomous in the slightest)

- paradox of complexity: it's easier to genetically engineer tomatoes that can withstand falling to the ground and being swept into a box than it is to engineer a machine that can identify and carefully pick ripe tomatoes as fast, as reliably and as cheap as a human worker

- motion planning and navigating unmapped environments is largely unsolved

- specialised machines are cheaper, more reliable and readily available: it's often more beneficial to modify the process than to program a generalised machine to perform human tasks, e.g. washing machines and dish washers don't need actual hands and tumble dryers don't need to use clothes lines yet all three work fine/better than the human version of the process

- AI safety is still in its infancy (even in the context of "just" motion planning and navigation); there's no such thing as tried and tested safety protocols for fully autonomous robots

- the state of the software (in terms of autonomy) is way behind the state of the hardware

- even Spot is for the most part still just a super low-volume solution looking for a problem




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