Physical AI Atlas

Physical AI, explained and compared

Humanoid robots, VLA models, chips, simulators, ecosystem: sourced and dated data, in English and French, with a European industrial angle.

11comparators
222sourced entries
2languages

Updated 2026-10-09

Quote of the day

“The ChatGPT moment for physical AI is nearly here, but the challenge is clear. The physical world is diverse and unpredictable. Collecting real world training data is slow and costly, and it's never enough.”

Understand

Definition, technical stack, VLA models, world models: the fundamentals to discuss physical AI with precision.

Physical AI explained to everyone

You know nothing about robotics or artificial intelligence? Good, this page is for you. No jargon, everyday examples: here is what physical AI really is, how it works, and what it can actually do today.

History of AI in robotics: from specialized networks to generalist robots

AI did not arrive in robotics with VLA models: it has been at work there since the 1960s, in successive waves that each added a capability without replacing the last. Understanding this history helps place what is actually new in 2026, and what is not.

What is physical AI?

Physical AI is artificial intelligence that perceives, reasons and acts in the real world. Here is what the term covers, how it differs from generative AI, and where the technology genuinely stands in 2026.

The physical AI technology stack

The physical AI technology stack combines sensors, models, actuators, compute, middleware and training data to turn observations into physical actions. Its model layer includes vision-language-action models, world models and reinforcement-learned policies, each serving a different role.

What is a VLA model in robotics?

A vision-language-action (VLA) model is a neural network that turns images and natural-language instructions into robot commands, such as joint positions, velocities or torques. Trained on demonstrations, it learns the path from perception to action end to end rather than chaining separately programmed modules.

World models and sim2real

To act in the world, a robot must be able to predict it. World models and simulation have become the main data factory of physical AI.

Physical AI FAQ

The ten most common questions about physical AI, answered briefly, honestly and with sources: definitions, costs, key players, regulation.

Compare

11 sortable, filterable comparators built on source-verified data.

Track

Milestones, funding rounds and structured ecosystem news.

Decide

EU AI Act, machinery standards, factory pilot ROI: guides for decision-makers in European industry.

The factory director's roadmap

Between the financial bubble around humanoids and the real industrial takeoff, the line is clear for anyone who knows where to look. This roadmap gives the factory director an honest read of the 2026-2030 market, a realistic investment calendar and a 90-day decision method.

Robotics: where does the value go in the physical AI era?

The PC and the smartphone showed how value migrates from hardware to the chip, the model and the platform. Is robotics on the same trajectory, with NVIDIA in a Wintel-like position, and what should a roboticist do to avoid Nokia's fate?

Which robot, and how to build your first prototype

Two concrete questions before starting a physical AI project: which robot shape to choose, and what path leads from a blank page to a first working prototype. Here is an honest answer, with budgets, timelines and pitfalls included.

EU AI Act and standards: deploying AI robots in Europe

An AI-powered robot deployed in Europe falls under the EU AI Act, the new Machinery Regulation and, often, the GDPR. Here are the verified deadlines, the applicable standards and who is responsible for what.

Factory ROI of a physical AI pilot

A well-scoped physical AI pilot is judged in months, not years. Verified 2026 use cases, a realistic cost structure and an ROI calculation with transparent assumptions.

Funding your robotics and physical AI project

A subsidised diagnostic, CAPEX for the pilot, a tax credit: funding schemes for robotics and physical AI have multiplied across France and Europe since 2023, but they stack in a precise order and change fast. This guide is current as of 10 July 2026, with an official link and a dated status for every scheme. Many of these French schemes are also open to foreign robotics and physical AI companies setting up a subsidiary or an R&D unit in France, not only to already-registered French firms.

Where does physical AI funding go?

Physical AI funding concentrates in a handful of companies, including Project Prometheus with $18.2 billion raised cumulatively. This snapshot, current as of 10 July 2026, distinguishes money raised from valuations, conditional commitments and public investment targets.

Trade shows and events

The verified calendar of physical AI trade shows, expos and conferences from August 2026 through the end of 2027: 39 events, each with a date sourced from the organiser's official website.

Christian Verbrugge

Christian Verbrugge · D·Fairy

Bringing a physical AI solution into European industry?

15 years at KUKA on automotive OEM programs (€100M), now focused on edge AI and autonomous agents. I support robotics and embodied AI companies on their EMEA market entry: OEM and Tier 1 access, co-funded pilots, AI Act readiness.

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