LeRobot v0.6.0 adds a way to turn mistakes during robot operation into examples for later training. Its new deployment command includes a mode in which an operator watches the robot, takes over when behavior goes wrong, records a correction, and returns control. The release notes say the recorded correction frames are marked as human interventions.
That creates a direct connection between observing a failure and collecting the data needed to address it. The resulting dataset can feed another fine-tuningTaking a trained model and training it a bit more on your own examples so it gets better at one specific job.Full definition → run, allowing developers to concentrate new demonstrations on situations where the robot's existing controller struggled.
Terms in this piece · Glossary
fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
