The 4 Layers Of Brain Behind One Of Europe’s Leading Humanoid Robots
Humanoid AI, a UK-based firm, is emerging as a significant European player in the humanoid robot market. Their HMND 01 robot primarily features a wheeled design, prioritizing industrial applications due to greater energy efficiency, stability, and easier CE...
Key takeaways
- The most recent headlines show a rapid surge of activity across the global humanoid‑robot market.
- On July 22, 2026 a UK‑based company called Humanoid announced a $152 million Series A round that lifted its post‑money valuation to $1.35 billion, making it Europe’s first pure‑play humanoid‑robotics unicorn; the funding will accelerate development of its next‑generation wheel‑based humanoid platform, begin mass manufacturing, and expand deployments in logistics, manufacturing and retail, with a beta roll‑out slated for Q4 2026 and a landmark commercial deal with Schaeffler for thousands of units.
- In the United States, Agility Robotics, the maker of the bipedal Digit robot, opened a 60,000‑square‑foot “robot school” in Fremont and reiterated that it will avoid the talent‑bidding wars that dominate the AI sector, focusing instead on sustainable growth and continued commercial use of Digit across more than 65,000 hours of work.
- Meanwhile, Generative Bionics debuted its Gene.01 humanoid at AMD Advancing AI 2026, highlighting full‑body tactile sensing and physics‑native AI that allow the robot to interpret physical interactions more naturally, backed by a €70 million funding round raised in late 2025.
- At the World Artificial Intelligence Conference, AGIBOT unveiled the A3 Ultra, a 1.74 m, 60 kg full‑size humanoid with 51 active degrees of freedom, 8 hours of operation, and a multimodal perception suite including lidar, RGB‑D and UWB positioning for public‑facing and service roles.
Humanoid AI, a UK-based firm, is emerging as a significant European player in the humanoid robot market. Their HMND 01 robot primarily features a wheeled design, prioritizing industrial applications due to greater energy efficiency, stability, and easier CE certification compared to bipedal models. The company employs a four-layer AI architecture, from fleet coordination to whole-body control, leveraging vision-language models for deterministic task execution. Humanoid AI focuses on deploying flexible robot fleets capable of diverse tasks, aiming for performance exceeding human speed through reinforcement learning. Despite less capital than US competitors, strategic partnerships with Bosch and Schaeffler, and a commercial-first approach, position them for rapid growth and European Humanoid says its robots are now performing core tasks at roughly 80% of human speed and success rate on some tasks, up from around 60%, and it expects to approach — and eventually exceed — 100%.
That’s already pretty impressive, given the speed I’ve seen on humanoids so far.
That last claim though – exceeding human speed – rests on reinforcement learning, not teleoperation-based human-gathered data.
"If we're only to use imitation learning, based on the data we collect with humans, then human performance is the limit," Stasinopoulos said. "Reinforcement learning does not have this limit." The company now leaves robots working overnight, with System 2 automatically judging good and bad executions and feeding the wins back into a shared base model. "One robot will do something better, System 2 will say this is a good execution, retrain the base model, and then all the robots get the improved model," he said. "The progress is exponential."
That’s impressive, but not shocking given that the company has so quickly executed on launching significant humanoids. Two things explain the pace, he argued.
The first is commercial focus.
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