How many people have homes that require chores to be done? Laundry, cleaning, setting/clearing tables, yard work, some consider cooking a chore.
If I could get an affordable robot to do a subset of them, I'm in the market for one.
If I could get an affordable robot to do a subset of them, I'm in the market for one.
I wonder... How can these foundational models actually learn to deal with that without being deployed in those scenarios? It feels like a chicken-and-egg problem: you need a ton of real-world data from chaotic homes to train robust models, but you also need robust models before you can safely deploy robots into those exact homes at scale