EP325: Why robots have too much brain

Title: Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?Source: http://arxiv.org/abs/2606.27755v1Summary:This paper presents an architectural efficiency breakthrough for Vision-Language-Action (VLA) models by systematically analyzing block redundancy and block sensitivity via a novel 'GateProbe' metric. It reveals that VLA language backbones are highly redundant, demonstrating that drastically reducing language block capacity can maintain or even improve downstream robotic control performance under identical fine-tuning budgets.