Their teleoperator position from 3-11 PM, M-F, pays between $22 and $31 an hour with benefits and is onsite in Palo Alto.[1]
I'll be curious if they move those positions to a lower cost-of-living area as they scale up.
I'll be curious if they move those positions to a lower cost-of-living area as they scale up.
From Wikipedia: "A fortified wall has ended unauthorized Mexico-US immigration, but migrant workers are replaced by robots, remotely controlled by the same class of would-be emigrants."
[0] https://www.youtube.com/watch?v=nbJGQl-dJ6c&pp=ygUUc2xlZXAgZ...
[0] https://mosh.org
Thinking about it now, if one would deliberately add much more latency (a few seconds), it might be possible to use real-world simulation as aid. At least for operations which can be decomposed into sequences of transitions between stable/safe states. Say moving dishes from dishwasher to cupboard. Picking up is critical, but holding in hand is (presumably) safe, placing in cupboard critical, once placed it is safe. Then one could let teleoperator do the entire critical move virtually, act it out in simulator only. See what the outcome is. If high risk of failure, deny operation. If good chance of success (per simulation) can allow to execute in the real world. More autonomous operation will need ability to simulate actions, project alternative approaches into the future, and a world model strong enough that can also plan and execute based on it. So there are potential synergies in a full-teleop, to hybrid teleop to autonomy transition. Note, this approach would also assume the relevant environment to be static. So it would not help handle the pet or toddler...
By the way, we've had robotic surgery [1] for years. These machines are very expensive, and it takes months, if not years, to learn to operate them flawlessly.
That really depends on how demanding you are. For example, I prefer to thoroughly wipe the dishes after taking them out of the dishwasher (if necessary). This is a fairly demanding task in terms of motor skills. I suppose we all have similar discrepancies from what is considered normal or good enough.