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LostLocalMan | 2 years ago

To be fair it is far more complex for a robot to grip a spatula and use that spatula on a griddle than to use dynamic motion to flip a pancake in a pan.

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GlenTheMachine|2 years ago

Ehhh.

Solving any one problem with robotic manipulation isn’t all that hard. It takes a lot of trial and error, but in general if the task is constrained you can solve it reliably. The trick is to solve *new* tasks without resorting to all that fine tuning every time. Which is what Russ is claiming here. He’s training an LLM with a corpus of one-off policies for solving specific manipulation tasks, and claiming to get robust ad hoc policies from it for previously unsolved tasks.

If this actually works, it’s pretty important. But that’s the core claim: that he can solve ad hoc tasks without training or hand tuning.

dotancohen|2 years ago

  > He’s training an LLM with a corpus of one-off policies for solving specific manipulation tasks, and claiming to get robust ad hoc policies from it for previously unsolved tasks.
It seems clear that many people do not understand that this is the key breakthrough: solving arbitrary tasks after learning previous, unrelated tasks.

In my opinion that really is a good definition of intelligence, and puts this technique at the forefront of machine intelligence.

steve_adams_86|2 years ago

Is the pancake and spatula problem actually that constrained though?

I know it isn’t as open ended as plenty of more important problems in robotics, but this doesn’t strike me as easy at all.

I’ve only dabbled in robotics as an entry level hobbiest, so I really don’t know the answer.