EMMA: Extracting Multiple physical parameters from Multimodal Data 事件

EMMA: Extracting Multiple physical parameters from Multimodal Data arXiv:2605.24047v1 Announce Type: new Abstract: We introduce EMMA, a physics-informed multimodal framework that recovers all identifiable dynamical parameters of a system directly from raw video, audio, and image-based time-series observations. Unlike prior video-only approaches that struggle with occluded states, hidden actuation inputs, or assumptions about known initial conditions and coordinate frames, EMMA performs joint in