iFLYTEK-Embodied-Omni unifies vision, language, and action in one embodied model
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iFLYTEK-Embodied-Omni integrates visual-language reasoning, future video generation, and low-level action execution into a single unified model using shared multimodal self-attention instead of a cascaded pipeline. By co-training on both action-annotated and action-free videos through a four-stage strategy, this architecture eliminates interface bottlenecks and compounding prediction errors between planning and execution. For production, this enables deploying a single end-to-end embodied agent that natively tracks progress and generates precise control actions without relying on fragile microservice gluing.
iFLYTEK-Embodied-Omni unifies vision, language, and action generation in a single multimodal model, eliminating cascaded pipelines that compound errors and bottleneck performance. This enables more reliable long-horizon control for embodied agents by directly translating shared multimodal context into executable actions, reducing the need for error-prone intermediate representations in production systems.