What Is Physical AI? A Plain-English Guide for People Who Buy Equipment

Physical AI is artificial intelligence that perceives the physical world through sensors and acts on it through machines: robots, vehicles, drones, and the equipment around them. A chatbot produces text. A physical AI system picks up a part, drives a forklift, or decides where to drill.

The term has caught on fast, helped along by NVIDIA, which uses it to describe the robotics and simulation side of its business. That’s worth keeping in mind. “Physical AI” is a fair description of a real category, but much of what you’ll read about it comes from companies selling the chips and software underneath.

What physical AI includes

A physical AI system has three parts:

• Perception. Cameras, depth sensors, lidar and force sensors that tell the machine what’s around it. This is the most mature part. Cognex’s $500 million purchase of RealSense, a depth-camera maker, in September 2026 was a bet on this layer.
• Decision-making. The models that turn what the machine sees into what it should do. This is where the newest work is: vision-language-action models that take a camera image and an instruction (“put the red box on the pallet”) and output motor commands.
• Action. Motors, grippers, wheels and legs. The hardware that has to work every cycle, in dust and heat, for years.

Physical AI vs. embodied AI

The two terms overlap heavily and are often used interchangeably. The usual distinction:

• Embodied AI is the research term. It refers to AI that learns through having a body and interacting with an environment, and it’s mostly used in academic work.
• Physical AI is the broader industry term. It covers embodied AI agents and robots, but also simulation tools, digital twins and the world models used to train them.

In practice, if a company says “physical AI,” it’s usually talking about robots and the software stack that runs them.

Examples of physical AI working today

The useful question isn’t “is this physical AI?” It’s “is anyone paying for it to run every day?” Some examples that pass that test:

• Warehouse picking and sorting. Robots that grasp items they weren’t specifically trained on, like the returns-sorting systems now live at CEVA Logistics sites for Zalando.
• Goods-to-person warehouse robots. Fleets of mobile robots that bring shelves or totes to workers. Geek+ runs more than 1,600 of them across two LPP Logistics sites in Poland.
• Industrial inspection. Legged robots like ANYbotics’ ANYmal walking routes in power plants and reading gauges.
• Vision-guided industrial arms. Conventional robots with AI-based vision that handle parts in variable positions.

And examples that are mostly still demonstrations:

• General-purpose humanoids doing a range of tasks on a production line. Pilots exist. Fleets doing paid work at scale mostly don’t yet.
• Robots that learn a new task from a few demonstrations without engineering work. Promising in research, rare in plants.

Physical AI companies

The companies in this space fall into a few groups:

• Chip and platform providers: NVIDIA, Qualcomm (which agreed to buy PickNik, the company behind the MoveIt motion-planning software, in 2026), SiMa.ai.
• Robot “brain” software: Physical Intelligence, FieldAI, Google DeepMind’s Gemini Robotics.
• Robot makers: industrial incumbents like FANUC and ABB, warehouse specialists like Geek+ and Exotec, and humanoid companies like Agility, Figure, Unitree and AgiBot.
• Manufacturers adopting it in their own plants: Hitachi’s 2026 partnerships with Agile Robots and FANUC use Hitachi’s own factories as the test bed.

Questions to ask about any physical AI claim

1. What does the system do today, at which named customer?
2. What happens when it sees something it wasn’t trained on?
3. How often does a person have to step in, and how is that measured?
4. Is the AI the product, or is it a feature on hardware you could buy without it?

Physical AI is a real shift in what machines can do. The skill is telling which claims describe a deployed system and which describe a roadmap.