Physical AI and Robotics: The Robot Report on the State of Embodied AI

The Robot Report has published a report on the state of physical AI, the field in which artificial intelligence controls robots and autonomous systems, letting them perceive their surroundings, make decisions and act in the physical world.

What is physical AI

Physical AI (also called embodied AI) refers to models that control not text on a screen but machines in the real world: robots, industrial manipulators, autonomous vehicles. Unlike chatbots, which work with words, this kind of AI relies on three linked capabilities.

• Perception: the system reads its environment through cameras, lidars and other sensors
• Decision: an algorithm chooses an action in real time rather than following a pre-written script
• Action: the robot or machine physically carries out a movement in space

In The Robot Report's wording, physical AI "increasingly allows autonomous systems to perceive their surroundings, make decisions and act in the real world." It is the closing of these three stages into a single loop that sets embodied AI apart from familiar generative models.

What the report covers

The Robot Report's report looks at the overall state of physical AI and robotics, and at how AI models for perception and control are being built into autonomous systems. The publication specializes in the robotics industry, and the piece documents a field that became one of the main topics at the intersection of AI and hardware in 2026.

The key shift the report describes is AI's move from purely digital tasks to physical ones. A model that once only generated text or images now operates a manipulator in a warehouse, a drone or a service robot, and is responsible for the outcome in a real environment, not a virtual one.

"Physical AI increasingly allows autonomous systems to perceive their

surroundings, make decisions and act in the real world," the report says.

Why it matters

Physical AI moves AI from the role of "advisor" to the role of "executor." While chatbots stay in the browser, embodied AI is responsible for the movement of real machines, where mistakes cost more, from a ruined part to an accident. That is why such systems face stricter requirements for reliable perception and predictable decisions.

For the industry, this means two formerly separate worlds, AI model developers and robot manufacturers, are drawing closer together. Autonomy stops being a standalone feature and becomes a shared layer running through perception, planning and physical action.

What this means

Physical AI is the next frontier after generative models: AI is learning not just to answer but to act in the real world. The Robot Report's report records that robotics and AI are finally ceasing to be separate industries and are merging into one.

Frequently asked questions

What is physical AI in simple terms?

Physical AI is artificial intelligence that controls physical machines: robots, manipulators, autonomous vehicles. It perceives its surroundings through sensors, makes decisions and takes real actions, rather than only generating text or images.

How does physical AI differ from ordinary AI?

Ordinary generative models work with data on a screen: text, code, images. Physical AI closes three stages in the real world: perception through sensors, a decision in real time and a physical action by the robot. The cost of an error is higher here, so the emphasis is on reliability and predictability.