Limits of robot autonomy
The fact that many events still permitted humans to directly control robotic motions shows that autonomous robot systems still have a long way to go, Patel said. Whereas humans can quickly learn many tasks on the fly, robots require much more training through repeated trial-and-error attempts either in simulation or in real-world scenarios.
“You need to have all possible edge cases for a robot to learn from interaction, which is not really feasible,” Patel told Ars. “You can simulate something like 100,000 scenarios for hammering a nail, but that’s just one task from millions of tasks in the world.”
The AI models powering many robots
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