SOURCE-LINKED INTELLIGENCE
Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Model
Visual goal and dynamics prediction can provide language-conditioned robot policies with both a target outcome and a representation of action-dependent scene changes. We bring these predictions into action generation and selection through a shared trajectory model. Dynin-Robotics implements this formulation on Dynin-Omni, an omnimodal masked-diffusion backbone, representing language, visual observations, goals, and actions as discrete tokens. By varying conditioning and target spans, the same model learns action prediction, action-conditioned next-observation prediction, terminal goal-state pr
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-11T16:49:26.000Z
First collected: 2026-09-20T18:22:04.777Z. This is not the publication date.