Physical AI и робототехника: отчёт The Robot Report о состоянии воплощённого ИИ

What is physical AI

Physical AI (physical, or embodied, AI) — these are 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 surroundings through cameras, lidars, and other sensors
• Decision — the algorithm chooses an action in real time, rather than following a pre-scripted scenario
• Action — the robot or machine physically executes movement in space

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

What the report covers

The Robot Report's report is devoted to the overall state of physical AI and robotics — how AI models for perception and control are being built into autonomous systems. The publication specializes in the robotics industry, and the material captures a direction that in 2026 became one of the main themes at the intersection of AI and "hardware."

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

"Physical AI is increasingly allowing autonomous systems to perceive their surroundings, make decisions, and act in the real world," the

Robot Report report states.

Why it matters

Physical AI shifts AI from an "advisor" mode into an "executor" mode. While chatbots remain in the browser, embodied AI is responsible for the movement of real machines, where a mistake costs more — from a ruined part to an accident. That's why such systems face stricter requirements for perception reliability and decision predictability.

For the industry, this means the convergence of two previously separate worlds — AI model developers and robot manufacturers. Autonomy stops being a separate function and becomes a shared layer that runs through perception, planning, and physical action.

What this means

Physical AI is the next frontier after generative models: AI is learning not just to respond, but to act in the real world. The Robot Report's report captures the fact 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 carries out real actions, rather than merely 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, real-time decision-making, and the robot's physical action. The cost of error here is higher, so the emphasis is on reliability and predictability.