Sergey Levine, co-founder of Physical Intelligence and UC Berkeley professor, discusses why home robotics presents a far greater technical challenge than commercial or semi-structured robotics tasks.
“I think the place where I would see the biggest technical risk is dealing with the breadth of different situations. So, I think if we were talking about a well-defined, but, you know, But slightly chaotic environment like cleaning hotel rooms, or working, ah, you know, assisting human, ah, cooks in a restaurant, right? Like that, that sort of thing, I think, I have like a very good sense for how to get that under control. If you're imagining a robot going into a home, you know, one place where I can anticipate a challenge is that there are a lot of other unexpected things that can happen, and you need a system that's very good at inferring what's going on, and adapting to it, or reacting intelligently. And I think we have a lot of ideas for how we can approach it, but that is kind of the hardest part of the problem, because when you're in a situation where just about anything could happen, and you're controlling, like, a physical device that, you know, affects the world around it, then you really need to get things right, at least at some level, pretty much in every case. Like, it doesn't mean that you always have to succeed, but it doesn't mean that you always have to do something kind of sensible that people are okay with. And I think there are a lot of really good ideas for how to do that, but that is Probably the most challenging part of the equation.”
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PredictionOpen · timeframe Mar 2031
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