Yunfei Xie, Howard H. Qian, Shiyi Lan, Kaiyu Hang, Chen Wei · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31670 · open-access PDF
Die Platonische Repräsentationshypothese (PRH) legt nahe, dass sich, wenn Repräsentationen verbessern, verschiedene Modalitäten wie Vision und Sprache in Richtung eines gemeinsamen statistischen Modells der Realität konvergieren. Wir fragen, ob Bewegungsphasen eine andere solche Modalität bilden: Wenn verkörperte Modelle fähiger werden, sollten ihre sensorischen Repräsentationen in Richtung der Struktur der physischen Bewegung konvergieren?
Machine translation (Meta M2M100); the English original follows.
Robotic foundation models are typically evaluated through costly closed-loop rollouts, which motivates cheap offline proxies for model capability. The Platonic Representation Hypothesis (PRH) suggests that as representations improve, different modalities such as vision and language converge toward a shared statistical model of reality. We ask whether motion trajectories form another such modality: as embodied models become more capable, should their sensory representations converge toward the structure of physical motion? To examine this, we propose Sensorimotor Alignment ($S^2$), a training-f
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