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> Basically, no real breakthrough has happened in robotics and everyone is hoping to be able to replicate LLMs/vision path for robotics (i.e. data). But no one
by krasin 3y ago
> Basically, no real breakthrough has happened in robotics and everyone is hoping to be able to replicate LLMs/vision path for robotics (i.e. data). But no one really knows how to even collect so much high quality data and no one is even remotely close to executing it. The best we seem to have done is: https://robotics-transformer-x.github.io/ https://robotics-transformer-x.github.io/
ALOHA + RT-X is a great combo to collect a lot of somewhat uniform data to enable such a breakthrough.
> Overall, just too much hype.
True. :)
- hulitu 3y ago> ALOHA + RT-X is a great combo to collect a lot of somewhat uniform data to enable such a breakthrough. Collecting data will not enable anything. Google, Apple, Facebook, Microsoft and others are doing it since 10 years and no "breakthrough" in sight.
- krasin 3y ago> Collecting data will not enable anything. Historically, this has not been the case. Collecting data enabled speech recognition, image recognition (and subsequent breakthroughs), machine translation. What is so special about Robotics that collecting data will not enable anything?
- bravura 3y agoThe environment is changing and there are many more out-of-distribution events that can interfere.
- krasin 3y agoThis is true. But Waymo is dealing with the same kind of challenges and it seems that they are already at a point, where their technology (enabled, among other things, by collecting tons of data) is useful. I expect Robotics (in particular, solving manipulation) to follow the same route: super expensive R&D, multiple false starts, but eventually (tons of data => breakthrough to get smarter robots).