Peel an orange? Crack an egg? Thread a needle? (Heh, drive a car...) There's a huge range of tasks that a non-specialized, general purpose robot simply cannot do yet. I'd be easier to enumerate the things they can do than the things they can't given the current state of the art.
Sure, build an orange peeling machine and it'll do great. But that's not what we're talking about here.
As for those demos videos we often see, those are very highly choreographed demonstrations. Show me a real life humanoid robot operating free form on a factor floor and doing those things and I'll be impressed.
And to be clear, this is not meant to understate what's been accomplished. I'm just saying the path for advancement is a lot harder and based in physical rather than computational limitations, which are much harder to overcome and go much slower. We simply cannot look at the growth curve of LLMs and expect robotics to advance at the same rate.
peeling an orange and cracking an egg already demonstrated. Figure 02 worked on BMW's actual Spartanburg production line for about 1,250 hours running 10-hour shifts.
keep paying attention, you will see how wrong you are about it being physical limitations as the physical AI continues to rapidly improve.
Sure, build an orange peeling machine and it'll do great. But that's not what we're talking about here.
As for those demos videos we often see, those are very highly choreographed demonstrations. Show me a real life humanoid robot operating free form on a factor floor and doing those things and I'll be impressed.
And to be clear, this is not meant to understate what's been accomplished. I'm just saying the path for advancement is a lot harder and based in physical rather than computational limitations, which are much harder to overcome and go much slower. We simply cannot look at the growth curve of LLMs and expect robotics to advance at the same rate.