感知哪个模态重要：证据门控正则化强化 VLA 策略
原标题：Sensing Which Modality Matters: Evidence-Gated Regularization for Robust VLA Policies
技术动态AI 88
来源：arXiv cs.RO发布时间待核实
arXiv:2609.03142v1 Announce Type: new Abstract: Vision-Language-Action (VLA) policies fuse multimodal sensory inputs, but training on limited and homogeneous robot demonstrations encourages spurious inter-sensor correlations rather than task-relevant signal, a failure we term modality entanglement.