Yueh-Hua Wu

Auditing Instruction–Trajectory Mismatches in Multimodal Robot Demonstrations

Multimodal Probabilistic Fusion (MMPF), a training-free auditing framework that treats each modality as an expert, estimates a task-label distribution from local neighborhood agreement and global prototype similarity, and then fuses modalities with predictive-entropy weighting in a product of experts is proposed.