Repo

Hy-Embodied-RxBrain-1.0

Generates answers, future frames, and embodied plans from images or video, interleaving reasoning text with imagined visual states in one sequence.

GitHub ↗Jul 14, 2026

  • multimodal
  • embodied-ai
  • world-model
  • visual-planning
Comprehensive pipeline showing data scaling, model architecture, and showcase demonstrating core contribution
Comprehensive pipeline showing data scaling, model architecture, and showcase demonstrating core contribution

What it is

Unified embodied multimodal model for VQA, future-frame prediction, and interleaved action-plus-goal-image planning from image/video context. Answers visual questions, predicts future world states, and generates stepwise embodied plans that pair each action with an imagined goal image in one model.

Key results

  • Single 6.2B model supports VQA, T2I, 4-frame rollout, and planning
  • Interleaved planning emits both next action text and goal image per step
  • Released inference scripts for VQA, multiframe rollout, T2I, and demos

Shows a single autoregressive multimodal model can couple embodied reasoning, visual imagination, and subgoal planning.

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