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There are already robotics models that can fold shirts and similar just fine. Progress in VLA models is good, I don't think this would form the foundation of a business. Humanoid robots are going to be another ChatGPT, it's going to seem to happen almost overnight because people aren't paying attention to the underlying research papers.


Nah, there's an obvious reason figure made splashy announcement of people cleaning homes with recording devices strapped to their heads.

Chatgpt had the internet.

Robots do not. Translating video is promising but obviously not enough.

Robots will likely never "explode" like chatgpt. They're gonna be a slow long term project requiring massive capitol to get the data.


Any papers you'd recommend?


Most progress in data-driven robotics nowadays are done either in unicorn startups or corporate research labs - so you should follow the industry more than academia. The path to good robot performance isn't really in the models themselves - it's highly dependent on how much you can gather high-quality real-life data.

Specifically for laundry folding, Sunday Robotics is probably the state of the art, where they were able to obtain 99.1% success rate and call it "done": https://www.sunday.ai/blog/act-2-preview#solve-standard


If their hero image video and the side by side at (5x) with a human at quote "1x" are "solved" I'm not impressed. I'm faster and more accurate and I am the worst folder in my house (kids included). The human looks like they are doing it slow mo to show children how to.




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