Geoff Brumfiel
๐ค SpeakerAppearances Over Time
Podcast Appearances
Yeah. Well, scientists are exploring them right now. And one might be to let the AI brain of the robot learn in a simulation. A researcher who's trying this is a guy named Pulkit Agrawal. He's at the Massachusetts Institute of Technology.
So this is a really promising approach for some things, but it's much more of a challenge for others. So for example, let's talk about walking. When you're just dealing with the earth and your body, the physics of walking around, it's actually kind of simple.
So this is a really promising approach for some things, but it's much more of a challenge for others. So for example, let's talk about walking. When you're just dealing with the earth and your body, the physics of walking around, it's actually kind of simple.
So this is a really promising approach for some things, but it's much more of a challenge for others. So for example, let's talk about walking. When you're just dealing with the earth and your body, the physics of walking around, it's actually kind of simple.
And so the simulation can do that reasonably well. But if you want your robot to, say, try and pick up a mug off a desk or something, that's a lot more complicated.
And so the simulation can do that reasonably well. But if you want your robot to, say, try and pick up a mug off a desk or something, that's a lot more complicated.
And so the simulation can do that reasonably well. But if you want your robot to, say, try and pick up a mug off a desk or something, that's a lot more complicated.
Basically, your robot will fling things across the room if it doesn't understand the weight and the size of what it's carrying. And there's more. You know, if your robot encounters anything that you haven't simulated 100% perfectly, then it won't know what to do. It'll just break.
Basically, your robot will fling things across the room if it doesn't understand the weight and the size of what it's carrying. And there's more. You know, if your robot encounters anything that you haven't simulated 100% perfectly, then it won't know what to do. It'll just break.
Basically, your robot will fling things across the room if it doesn't understand the weight and the size of what it's carrying. And there's more. You know, if your robot encounters anything that you haven't simulated 100% perfectly, then it won't know what to do. It'll just break.
Exactly. And some researchers think there are even deeper problems actually with trying to put AI into robotics. One of them is Matthew Johnson Roberson at Carnegie Mellon University in Pittsburgh.
Exactly. And some researchers think there are even deeper problems actually with trying to put AI into robotics. One of them is Matthew Johnson Roberson at Carnegie Mellon University in Pittsburgh.
Exactly. And some researchers think there are even deeper problems actually with trying to put AI into robotics. One of them is Matthew Johnson Roberson at Carnegie Mellon University in Pittsburgh.
So getting back to AI chatbots for a minute, Matt says for all their incredible skills, the task we're asking them to do is actually relatively simple. You know, you look at what a human user types and then try to predict the next words that user wants to see, right? robots have so much more that they're going to have to do than just compose a sentence.
So getting back to AI chatbots for a minute, Matt says for all their incredible skills, the task we're asking them to do is actually relatively simple. You know, you look at what a human user types and then try to predict the next words that user wants to see, right? robots have so much more that they're going to have to do than just compose a sentence.
So getting back to AI chatbots for a minute, Matt says for all their incredible skills, the task we're asking them to do is actually relatively simple. You know, you look at what a human user types and then try to predict the next words that user wants to see, right? robots have so much more that they're going to have to do than just compose a sentence.
So in other words, the sci-fi tasks that we want our robots to do are so complicated compared to sentence writing. No amount of data may be enough unless researchers can find the right way to teach the robots.
So in other words, the sci-fi tasks that we want our robots to do are so complicated compared to sentence writing. No amount of data may be enough unless researchers can find the right way to teach the robots.
So in other words, the sci-fi tasks that we want our robots to do are so complicated compared to sentence writing. No amount of data may be enough unless researchers can find the right way to teach the robots.
Yes. That's also an option. They can teach themselves.