Nah, the smart companies will employ some form of solar skin for trickle charging & kinetic energy return, which will give them an essentially limitless runtime in a FAR faster timeframe than anyone realizes. They'll self-regulate their power supply by "going outside for a break" or "staring out the window".

Essential tasks like obstacle avoidance, etc. can simply be package upgraded daily while charging; they will all be collectively learning in real-time & they will all experience incremental upgrades on a daily basis.

All the hard processing will be centralized to a data center to make it more efficient. The 'bots will simply be single nodes in a hive mind where all bots can upgrade one another via real-world data discovery. They will also utilize AI to train scenarios in a 3D environment at a rate that far exceeds real-world learning scenarios. The training models will have real-time feedback/input from every node & the hive mind will train THOUSANDS of possible solutions per second, exporting the most successful outcomes back to the hive mind in a never-ending recursive loop.

Nothing stops this train. 🤙

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Efficient solar skin is likely more than a decade away. And the power it gets from just part of the surface of a human shaped body is little.

Calling back to the hive mind will indeed be a main way that robots solve complex things, but wireless data is imperfect and so there will be a significant percentage of issues where robots get stuck.

The more decades you look out, the more solvable those things are, but my post was about the next decade.

Fair game. 🤙