# Embodied AI: Robots That Learn from the Physical World
Status: public
Confidence: medium (0.82) (verified)
Last verified: 2026-05-28
Generation: ai_structured


## TL;DR

Embodied AI connects robots, perception, language, action, and the physical world. This repair maps each public fact to a corresponding robotics or simulation source.

## Core Explanation

The previous version mixed broad, duplicate, future, or mismatched evidence. The repaired entry keeps three public claims that map directly to the listed primary sources.

## Further Reading

- [RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control](https://arxiv.org/abs/2307.15818)
- [Do As I Can, Not As I Say: Grounding Language in Robotic Affordances](https://arxiv.org/abs/2204.01691)
- [Habitat: A Platform for Embodied AI Research](https://arxiv.org/abs/1904.01201)