Robotics is more and more getting close to get its version of in-context learning.
Skild just released S1, a robot foundation model that uses video demonstrations to define tasks instead of language instructions.
Give S1 1 human video showing a long, multi-step task, and the robot executes it straight away. No retraining. No fine-tuning.
If this scales, you pay the enormous data bill once during foundation-model training, then amortize it across thousands of new tasks through prompting. That could change the economics of robot learning completely.
Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video promp...