Application Updated 2026-04

Physical AI

Definition

Physical AI applies artificial intelligence to the physical world: robotics, autonomous vehicles, drones and connected objects.

See also in the glossary

W
World Model
A World Model is an AI model that builds an internal representation of the physical world to understand and predict events.
D
Deep Learning
Deep Learning is a subset of Machine Learning using multi-layered neural networks to learn complex representations from raw data.
A
AI Agent
An AI agent is an autonomous system that uses an LLM to plan, decide and execute real tasks without human intervention at each step.
A
Artificial Intelligence (AI)
Artificial intelligence refers to computer systems capable of performing tasks that typically require human intelligence: language understanding, reasoning, learning and decision-making.

Tools that use physical ai

G
Gemini
Google's AI assistant with 1M token context
4.5/5
C
Claude
The AI that understands nuance, by Anthropic
4.7/5
O
OpenClaw
The open source AI agent that turns your LLMs into autonomous workers
4.5/5
R
Runway
The AI creative suite for professional video generation and editing
4.4/5

Frequently Asked Questions

What distinguishes Physical AI from regular AI?
Regular AI processes digital data. Physical AI interacts with the real world: it sees, touches, moves and manipulates objects.
What are examples of Physical AI?
Tesla Optimus robots, Waymo autonomous vehicles, delivery drones, robotic arms in factories, and surgical robots.