A vision-language-action model that runs on-device
The team distilled a 7B parameter policy down to something that fits in 8GB. Trade-offs Success rates drop roughly four points against the full model.
Foundation models, VLAs, and control policies moving into hardware.
The team distilled a 7B parameter policy down to something that fits in 8GB. Trade-offs Success rates drop roughly four points against the full model.
The release covers twelve robot morphologies and about 900 hours of teleoperated manipulation.
Policies trained entirely in simulation held up on hardware in 61 percent of trials.