LIBERO

Researchers at MIT introduced the Temporal Ratio (TR), an attention-based metric that predicts how well video-action models generalize to new tasks after finetuning on robotic data. They found that TR…

Researchers introduced MIRTH, an enhanced vision-language-action (VLA) framework for robotic control that incorporates dual-scale temporal memory hubs, latent reasoning tokens, and parallel action dec…

Researchers introduced ActQuant, a sub-4-bit quantization framework for Vision-Language-Action (VLA) models that reduces computational demands for edge deployment. The method achieved 95% performance …