AMSTERDAM — American artificial intelligence chip giant Nvidia and Germany’s Agile Robots are accelerating their push into humanoid robotics, with plans to manufacture as many as 2,000 compact humanoid robots in 2027 for universities and corporate research laboratories.
The ambitious production target was announced Wednesday, October 21, by Agile Robots founder and chief executive Zhaopeng Chen as the company unveiled an expanded collaboration with Nvidia.
Production of two new models, Agile ONE S and Agile ONE SN, is expected to begin before the end of 2026, with the manufacturer targeting between 1,000 and 2,000 units next year.
The smaller humanoids will combine Agile Robots’ mechanical engineering expertise with Nvidia’s advanced computing hardware and artificial intelligence software.
Potential customers include research institutions such as Stanford University in the United States and ETH Zurich in Switzerland.
But while the collaboration promises to make sophisticated humanoid robots more accessible to researchers, a significant challenge remains: turning AI-powered machines from laboratory development platforms into dependable workers capable of performing real-world industrial tasks.
The announcement comes as Nvidia accelerates investment in what CEO Jensen Huang describes as the next phase of artificial intelligence: physical AI, where intelligent machines move beyond digital systems and interact directly with the real world.
Agile Robots Targets Up to 2,000 Humanoids in 2027
NVIDIA × AGILE ROBOTS — KEY PRODUCTION FIGURES
2027 production target
1,000–2,000
Humanoid robots
Robot height
1.4 m
Robot weight
34 kg
Production begins
Late 2026
Models: Agile ONE S and Agile ONE SN
Initial market: Universities and corporate robotics research laboratoriesThese are announced production plans, not confirmed completed sales or shipments.
Agile Robots’ new machines are intentionally smaller than traditional full-sized humanoids.
The company says their compact dimensions should make them easier for researchers to transport, handle and test.
This is especially important in laboratories where engineers regularly modify hardware, collect movement data and conduct repeated experiments.
The smaller format also reflects a practical approach to the humanoid robotics market: rather than immediately promising robots capable of replacing human employees, Agile is focusing on platforms that researchers can use to develop and validate new capabilities.
Meet Agile ONE SN: A Humanoid Powered by Nvidia Technology
The collaboration centers on the Agile ONE SN, a version specifically configured with Nvidia technology.
The letter N in the model name refers to Nvidia.
Its announced hardware includes dexterous hands, integrated cameras and the Nvidia Jetson Thor onboard computing system.
Jetson Thor is designed for robotics applications requiring significant AI processing capability directly on the machine.
Rather than sending every task to a distant cloud server, onboard computing can help robots interpret their environment and process information locally.
The Agile ONE SN also uses Nvidia’s Isaac GR00T robotics AI technology, which is designed to support humanoid movement, manipulation and task learning.
Together, these technologies offer researchers an integrated development platform for experimenting with robotic behavior.
Nvidia’s October 21 announcement also identifies planned integration of its Halos safety technologies.
However, these capabilities should not be confused with proof that the robots can already perform every complex human task independently.
Why Nvidia Says the Partnership Could Save Researchers Months
One of the most commercially important aspects of the collaboration is that Agile will supply a more standardized, preconfigured robotic platform.
Researchers currently face a common problem when developing humanoid machines: different components, processors, cameras and software systems must be integrated before meaningful experiments can begin.
That process can take considerable time.
Nvidia robotics product director Spencer Huang said the new platform could save researchers approximately two to three months of setup and integration work.
His argument is that delivering a robot with much of its computing and software already integrated allows research teams to focus on developing new skills rather than making individual components work together.
The time-saving estimate is a company projection, not a guaranteed result independently demonstrated across laboratories.
Nevertheless, the approach could lower a significant technical barrier for universities and companies experimenting with humanoid robots.
How the Robots Could Eventually Work in Factories
Agile and Nvidia are targeting research that could eventually support practical applications in factories and warehouses.
Potential activities include manipulating objects, sorting materials, handling components and learning industrial tasks.
The critical word is eventually.
The first planned production batch is aimed primarily at researchers rather than a confirmed mass deployment of fully autonomous factory workers.
This distinction matters because industrial environments require machines to meet demanding safety, reliability and productivity standards.
A robot capable of demonstrating a task in a controlled laboratory may still struggle with irregular objects, unexpected obstacles or changes in its surroundings.
Agile’s strategy is to make hardware and software development easier now, potentially accelerating the path toward more practical industrial applications later.
Agile Robots Already Has an Industrial Robotics Business
The company is not a newcomer to commercial automation.
Agile Robots, headquartered in Munich, has already developed and deployed robotic systems in several industries.
In a September 2026 Reuters interview, CEO Zhaopeng Chen said the company had more than 20,000 robots operating across different environments, including automotive, electronics manufacturing and healthcare-related applications.
Those existing installations are important because they give Agile experience with real-world industrial requirements.
But the 20,000 figure refers to Agile’s broader robotics business, not to 20,000 humanoid robots of the new ONE S or ONE SN models.
Chen has previously stressed that industrial robots require training and practical experience rather than simply becoming capable through advanced AI models alone.
Nvidia Builds a Bigger Robotics Ecosystem in Europe
The partnership was announced during Nvidia’s GTC Berlin conference, where the company introduced expanded tools for humanoid and general-purpose robotics development.
The new offerings include updates to the Nvidia Isaac platform, robot-learning systems, simulation tools and software intended to support research.
Nvidia also highlighted work with other European robotics companies.
| Company | Area of robotics development |
|---|---|
| Agile Robots | Compact humanoid research platforms and industrial robotics |
| NEURA Robotics | Cognitive robotics and humanoid systems |
| ABB Robotics | Industrial automation and robotic systems |
| KUKA | Factory and industrial automation |
| Universal Robots | Collaborative industrial robots |
| Humanoid | General-purpose humanoid robotics |
Nvidia’s broader strategy is to provide computing chips, AI models, simulation environments and development software to multiple robot manufacturers.
This differs from manufacturing all the finished robots itself.
The company is positioning its technology as foundational infrastructure for the robotics industry, potentially allowing it to benefit from growth across competing manufacturers.
Germany Sees AI Robotics as a New Industrial Opportunity
The announcement comes during a larger German effort to increase investment in artificial intelligence.
On October 19, German Chancellor Friedrich Merz urged businesses to adopt AI to modernize manufacturing and strengthen competitiveness.
Speaking alongside Nvidia CEO Jensen Huang, Merz emphasized the importance of combining Germany’s industrial capabilities with advanced digital technology.
Germany has an established manufacturing base in automotive production, machinery and industrial engineering.
That gives local robotics companies access to engineering expertise and potential commercial customers.
Additional momentum came from the 2026 Invest in Germany Summit, where the government reported more than €225 billion in investment commitments.
Nvidia also announced plans for substantial European investment, including backing German technology companies such as Agile Robots.
Those broader commitments provide context for the robotics announcement, but should not be mistaken for funding earmarked exclusively for the 2,000-unit production target.
The Biggest Challenge: Can Humanoid Robots Become Useful at Scale?
Despite growing enthusiasm, humanoid robotics still faces important technical and commercial obstacles.
Robots must learn how to handle objects with different shapes and weights, react to unexpected changes and work safely around people.
Manufacturers must also reduce costs, improve reliability and demonstrate that humanoids can perform useful tasks consistently.
A separate Business Insider report published in October highlighted the rapid growth of investment in physical AI and robotics, with more than US$33 billion reportedly invested globally during the first half of 2026.
Yet increased investment does not automatically guarantee profitable commercialization.
Agile’s planned 2,000-unit production run will provide an indication of manufacturing scale, but the more demanding test is whether customers can develop useful applications using these machines.
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How Soon Will Agile ONE SN Be Available?
| Milestone | Announced timeline |
|---|---|
| Partnership announcement | October 21, 2026 |
| Production begins | By the end of 2026 |
| Agile ONE SN availability | Early 2027 |
| Planned production | 1,000–2,000 units in 2027 |
| Initial customers | Research institutions and corporate laboratories |
| General-purpose factory deployment | No confirmed date |
Nvidia’s technical release provides additional specifications for the Agile ONE SN reference platform, including 31 degrees of freedom, a 3-kilogram payload capacity per arm and five-finger robotic hands.
One specification deserves clarification: Reuters’ interview describes the compact robots as weighing approximately 34 kilograms, while Nvidia’s detailed reference-platform announcement lists the ONE SN at 40 kilograms. The two figures may reflect different configurations, but the reporting does not conclusively reconcile them. For exact ONE SN specifications, Nvidia’s manufacturer announcement is the more specific reference.
What This Means for Asia and the Philippines
Although the initial production plans focus on international research customers, the technology could eventually influence factory automation across Asia.
For Southeast Asian economies, including the Philippines, potential applications include electronics manufacturing, logistics, warehouse operations and industrial training.
Universities could also benefit from standardized robot-development platforms if they become affordable and accessible.
However, Agile has not announced a Philippine deployment or identified a local customer for its new humanoids.
The broader implications for employment also remain uncertain. Industrial robots can automate some repetitive tasks, but their adoption can create demand for other skills, including maintenance, programming, integration and safety supervision.
The Bigger Question: Is the Humanoid Robot Revolution Finally Approaching?
The Nvidia–Agile partnership combines an experienced robotics manufacturer with one of the world’s most influential providers of AI computing technology.
For researchers, a robot that arrives with integrated hardware, software and learning tools could reduce the time required to begin developing new capabilities.
For manufacturers, such platforms may eventually accelerate the adoption of advanced automation.
But the industry still needs to demonstrate that humanoids can reliably perform economically useful tasks outside controlled research environments.
The bottom line: Agile Robots plans to build up to 2,000 compact humanoid robots in 2027 through its Nvidia collaboration. Production is scheduled to begin by the end of 2026, with the ONE SN research platform expected to become available in early 2027. The technology is promising, but commercial deployment at scale remains unproven.
