Europe has largely been sidelined in the artificial intelligence boom, but when it comes to humanoid robots, the continent is still very much in the game. While China dominates electric vehicles and the United States leads in large language models, European companies are making serious moves in the bipedal robot space with major funding rounds, industrial partnerships, and real-world deployments at major manufacturers .

Which European Companies Are Leading the Humanoid Robot Push?

Sweden's Hexagon has built a humanoid robot currently being tested at industrial clients including BMW, one of the world's largest automakers. Germany's Neura Robotics just raised approximately 1 billion euros (about $1.2 billion) from investors including Amazon and Qualcomm, valuing the startup at roughly 4 billion euros. Beyond these headline names, traditional automotive suppliers like Schaeffler and Robert Bosch are also positioning themselves to capture a share of the emerging humanoid robot market .

The European push comes as the broader market for AI-powered robots and autonomous machines is projected to balloon into a trillion-dollar opportunity by 2035, according to analysts at Barclays. This massive potential is drawing capital and talent to the region, even as Europe plays catch-up in other areas of artificial intelligence .

What Breakthroughs Are Making Humanoid Robots More Practical?

Recent advances in robot learning are making humanoid machines significantly more capable and commercially viable. One major breakthrough involves teaching robots complex physical tasks through reinforcement learning, a machine learning technique where robots learn by trial and error in simulated environments before being deployed on real hardware. These improvements are not just incremental; they represent fundamental leaps in what robots can accomplish .

Companies are achieving remarkable results. One organization reported that their latest general-purpose AI model for robots, called GEN-1, improved average success rates to 99% on simple physical tasks, compared to 64% for previous models. The same system completes tasks roughly three times faster than previous state-of-the-art approaches and requires only one hour of robot data for each task to achieve these results. These efficiency gains are critical because they unlock commercial viability across a broad range of applications .

Another significant development involves whole-body teleoperation, where humans remotely control humanoid robots with precise movements. Unitree, a robotics company, has open-sourced a high-quality dataset of real-world humanoid robot teleoperation data, making it publicly available since March 2026. The dataset covers diverse scenarios, complex tasks, and various manipulation challenges, and it continues to receive regular updates. This kind of shared data infrastructure accelerates progress across the entire industry .

How Are Companies Preparing Humanoid Robots for Factory Work?

• Real-World Testing: European companies like Hexagon are already testing humanoid robots at major automotive manufacturers, moving beyond laboratory demonstrations to actual factory environments where robots must handle unpredictable conditions.
• Learning from Human Demonstrations: Robots are being trained using motion capture data, animation, and teleoperation methods that allow them to learn new skills overnight, dramatically accelerating the development cycle compared to traditional programming approaches.
• Dexterous Manipulation: Advanced hydraulic hands are being developed that can autonomously manipulate objects with precision, continuously reorienting items to match specified goals, a capability essential for complex manufacturing tasks.

The practical implications are significant. When Humanoid, SAP, and Martur Fompak teamed up to test humanoid robots in automotive manufacturing logistics, they explored how robots could streamline operations and improve efficiency in smart factories. These proof-of-concept projects are generating real data about what works and what doesn't in industrial settings .

Beyond manufacturing, humanoid robots are being deployed in increasingly diverse applications. One company used collaborative robots, or cobots, to automate the final precision trimming of swim goggles' silicone gaskets based on individual face scans. This automation allowed the company to scale from a Kickstarter sensation to selling over 400,000 goggles worldwide, demonstrating how robots can enable mass customization at scale .

Why Does Europe's Position Matter for the Global Tech Competition?

Europe's strength in humanoid robotics represents a potential counterweight to its struggles in other areas of artificial intelligence and technology. The continent has been late to the AI boom and trails China significantly in electric vehicle manufacturing. However, the humanoid robot market is still nascent, meaning there is genuine opportunity for European companies to establish leadership before the market consolidates around a few dominant players .

The involvement of major technology companies and automotive suppliers suggests that Europe views humanoid robots as strategically important. Amazon's investment in Neura Robotics signals that even American tech giants see value in European robotics expertise. This kind of cross-border investment and partnership could help European companies scale faster and compete more effectively against Chinese and American competitors .

The humanoid robot race is still in its early innings. Unlike the large language model space, where OpenAI and other American companies established early dominance, or the electric vehicle market, where Chinese manufacturers have captured enormous market share, the humanoid robot industry remains genuinely competitive. Europe's existing manufacturing expertise, engineering talent, and industrial relationships position the continent to play a meaningful role in shaping how humanoid robots evolve and are deployed across the global economy.