Vision-Language Planning

Vision-Language Planning is the ability of an AI to generate a sequence of actionable steps to achieve a goal — grounding high-level natural language instructions ("Make breakfast") into low-level visual perception and motor capabilities.

What Is Vision-Language Planning?

- Definition: Translating "Goal" -> "Plan" using visual context.
- Pipeline:
1. Instruction: "Put the cold apple in the bowl."
2. Visual Grounding: Find apple, find fridge (cold), find bowl.
3. Decomposition: Open fridge -> Pick apple -> Close fridge -> Find bowl -> Place apple.
- Models: PaLM-E, RT-2 (Robotic Transformer), SayCan.

Why It Matters

  • Affordance: The model must understand what is *possible* (can't pick up the table).
  • Robotics: The brain of modern autonomous robots.
  • Long-Horizon: Requires maintaining state over minutes of activity.

Vision-Language Planning is the operating system for autonomy — bridging the gap between abstract human intent and concrete physical actions.

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