The main driver remains manufacturing: automotive, electronics, assembly, subcontracting. In this type of ecosystem, robotics scales quickly because the use cases are clear: welding, handling, vision, quality control, intralogistics.

But another key strength is the gradual structuring of an R&D backbone: laboratories and national programs that strengthen applied AI and autonomous systems. Hungary notably has an Artificial Intelligence National Laboratory (MILAB) (implementation period until February 2026) and coordinated efforts around autonomous systems.

A “hands-on” ecosystem: integrators, robotic cells, automation

As in most industrial markets, value is largely concentrated among:

• Integrators (cells, lines, retrofits)

• Automation companies (PLC, motion, vision)

• Robot training and maintenance centers

Concrete example: Robot-X (Hungary) positions itself in the design and construction of robotic cells, assembly lines, and special-purpose machines exactly the kind of player that drives the local market day to day.

Another example: Gamma Digital reports industrial integration and automation activities based in Budapest.

At the same time, major global suppliers continue to structure demand in industrial and intralogistics robotics (FANUC, KUKA, etc.), while mobile robotics / AMRs are growing strongly through intralogistics.

Hungary is betting on execution:
real robots doing real work, not
just ideas.

Research & talent: the key role of SZTAKI, MILAB, and universities

On the research side, one name comes up frequently: HUN-REN SZTAKI, highly visible in autonomy, control, drones, and cyber-physical systems. Its projects related to autonomous systems (road vehicles, drones, robots, manufacturing) clearly illustrate the country’s positioning on AI that interacts with the real world.

On the university front, Budapest concentrates active robotics teams (navigation, mapping, computer vision, control, multi-robot systems), notably at BME (Budapest University of Technology and Economics).

At ELTE, research groups report work on cognitive robotics, human–robot interaction, autonomous UAVs, and locomotion.

Focus: Allonic, the startup tackling the “robot body” bottleneck

The problem: AI is advancing faster than hardware industrialization
The robotics sector faces a tension: AI keeps improving, but manufacturing complex robots (and producing them at scale) remains slow and expensive. The bottleneck often lies in assembly, prototype iteration, and reproducibility.

Allonic’s approach: “3D Tissue Braiding”
Allonic claims to be developing a manufacturing method called “3D Tissue Braiding” to produce complex robotic structures, reducing assembly steps and accelerating iteration.

A market signal: a record fundraising
On February 10, 2026, several European tech media outlets reported a $7.2M pre-seed round led by Visionaries Club, presented as a record for Hungary, with participation from angels connected to the AI ecosystem.

Why this matters for Hungary

• Credibility: attracting investors of this caliber in deeptech hardware validates the country as a robotics base.

• Spillover effect: more talent, suppliers, and “robotics-first” projects.

• Positioning: instead of building “yet another AI app,” Allonic focuses on a core building block how robots are manufactured.

Hungary may not be the loudest market, but it is a very concrete one: an industry that automates, strong integrators, R&D hubs in AI and autonomy, and now a new deeptech wave embodied by Allonic. For European players, this is an ecosystem to watch and potentially a future Central & Eastern Europe hub for industrializing robotics building blocks.

Are you a robotics/AI player active in Hungary (startup, integrator, lab)? Contact Robot Magazine to be featured in our mapping and European dossiers.

Bonus: Spotlight on 20 Hungarian players (robotics + AI)

Startups / “Robotics & autonomy” tech

• Allonic – robot manufacturing platform, “3D Tissue Braiding,” $7.2M raised (2026).

• aiMotive – AI solutions and tooling for automated driving (Budapest), acquired by Stellantis (2022).

• ABZ Innovation – heavy-duty agricultural/industrial drones, funding announced January 2026.

• Advanced Robotics (HU) – robotics + AI integration/implementation for logistics and warehouses.

• OptoForce – force/torque sensors (Hungarian origin), technology integrated via OnRobot.

Integrators / industrial automation

• Robot-X Hungary Kft. – design and construction of robotic cells, assembly lines, special-purpose machines.

• Gamma Digital – industrial integration and automation (Budapest).

• B&O Engineering (B&O Kft.) – automation solutions / robotic cells (collaborative robots, accessories, multi-brand).

From startups to national laboratories,
Hungary is structuring the robotics
of the future.

Research / national programs

• HUN-REN SZTAKI – research in control, autonomy, cyber-physical systems, robots/drones.

• National Laboratory for Autonomous Systems – national coordination and communication around autonomous systems.

• MILAB (Artificial Intelligence National Laboratory) – national AI program (implementation until February 2026).

• BME (Budapest University of Technology and Economics) – Embedded Systems & Robotics: navigation, mapping, computer vision, robot manipulators.

• ELTE – Artificial Intelligence & Robotics Research Group: cognitive robotics, HRI, locomotion, UAVs.

Communities / federations

• Hungarian Robotics Association (ROBOHUN) – federation/community linking industry, education, and research.

• Hungarian Robot Builders Association – maker and robot-builder community (meetups, projects).

Major industrial players & suppliers present (energizing the market)

• FANUC (EU presence + local network) – industrial robotics and automation (major reference).

• KUKA Hungary – industrial robotics & Industry 4.0 (local presence).

• Bosch Rexroth Hungary – automation + mobile robotics / intralogistics (AMRs).

• Knorr-Bremse (Budapest) – R&D projects and communications around automation, robotic cells, and AI.

• Bosch / AI ecosystem in Hungary (e.g., collaborations with ELTE) – industry–research links around autonomous systems and AI.

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To understand the genesis of RobotShop, you need to go back to my past as a combat engineer in the Canadian Army. During a mission in the former Yugoslavia, I faced the terrifying reality of landmines. Enemy technology was evolving rapidly metal, light, vibration, pressure, and pressure-release sensors while we were still often clearing mines lying on the ground with just a bayonet. I remember thinking: “I need to get out of here before I lose my life.”

After leaving the army, I pursued studies in robotics engineering, keeping in mind the idea of creating swarms of small “kamikaze” robots for humanitarian demining. To learn and become an expert, I started building robots in my apartment.

My first prototype, in the early 2000s, wasn’t a deminer it was a “Cat Hunter”! Imagine a chassis made from a tackle box, BBQ wheels, a thermal sensor salvaged from a garage light, glued onto a stepper motor recovered from a printer that served as the tracking head. I even rigged a tactile bumper using a copper tube and a piezoelectric component taken from an old speaker to detect obstacles, all controlled by a microcontroller programmed in BASIC. The robot worked so well it relentlessly chased my cat I had to deactivate it to preserve the animal’s sanity (laughs)!

But this “Maker” experience, building robots constantly, revealed a real problem: sourcing parts was a logistical nightmare. Every component had to be ordered from different places around the world. I realized that for robotics to advance, creators needed a centralized source. RobotShop was born from this frustration: creating a single platform to make it easier for enthusiasts and engineers to build useful robots for the future.

How has RobotShop’s mission evolved as the robotics market matured, from education to industry?

At first, the non-industrial market was mainly education, research, and Makers, with a few domestic applications like robot vacuum cleaners. We liked to call ourselves “the Amazon of robotics,” a simple way to explain what we did. Our unofficial slogan was “robotics at your service,” meaning we wanted to bring robotics into people’s lives in a concrete and useful way.

Today, the sector has matured, and we’ve evolved with it. We are no longer just a robotics store; we’ve become a global platform offering robotic solutions. Our new slogan is: “Everything Robotics, infinite possibilities”.

We began offering commercial and professional solutions, supported by a growing network of integrators. From robot kits to humanoids, we offer it all, aiming to accelerate and expand our range. From discovering the right robotic solution to financing, deployment, support, maintenance, and purchase or rental that’s what RobotShop is becoming.

We also opened our first showroom in Mirabel, Canada, which is essentially a living lab where customers can visit us. We plan to replicate this physical presence extensively, not only in Canada but internationally.

Our ambition is to build a global ecosystem where any robotic project can come to life through RobotShop.

With your unique perspective, what does the market still underestimate most in robotics: technology, applications, or real adoption?

All of the above (laughs). Take, for example, how humanoid robots will arrive in real-world applications faster than people think. There is still a lot of skepticism, which I understand. People see videos of robots dancing or doing flips and ask: “Okay, but what’s the practical use?”

What is less visible are the exponential forces working behind the scenes. I’m talking about major advances in three areas that reinforce each other: artificial intelligence, GPU power, and mechatronics (the physical dexterity of robots). AI allows robots to understand, adapt, and reason. Next-gen GPUs enable ultra-fast real-time computation, even locally. And physically, robots are becoming more stable, fluid, and capable of manipulating their environment precisely.

The combination of these three factors is a complete game-changer.

Few people also realize that major automotive manufacturers are already involved. Several have signed agreements with humanoid robot companies to integrate them, in the short term, into their assembly lines. These same partnerships, backed by industrial power, will enable mass production. We are no longer talking about lab prototypes; we’re talking about general-purpose humanoid platforms capable of performing a wide range of tasks just like a human, and in some cases, better.

Security and data privacy issues? They will be addressed in parallel. There will be rapid iterations, updates, and standards emerging, as always with disruptive technologies.

The result is that when these robots are “good enough” to replace certain human tasks at scale, they will be produced, delivered, and deployed massively and very quickly. It won’t be a slow, gradual change; it will be a wave.

As with all major technological breakthroughs, we radically underestimate the adoption speed once everything aligns.

If you had to summarize in one sentence the mission you still pursue today with RobotShop, what would it be?

“Together, fostering a world full of robots that positively impacts our lives.”

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This year marks a clear break from that trajectory. In 2026, robotics is no longer advancing incrementally. It is changing scale.

This shift is not driven by a single breakthrough, but by the convergence of artificial intelligence, embedded computing, simulation, labor shortages, and platform standardization. Robotics is moving beyond factory cells and entering the real world warehouses, hospitals, farms, construction sites, and public spaces.

For Robot Magazine, 2026 stands out as a pivotal year, comparable to the rise of cloud computing in the 2010s or the smartphone revolution in the early 2000s.

A Technology Long Limited by Its Own Constraints

Until recently, most industrial robots operated under strict conditions:

• fixed environments

• repetitive tasks

• deterministic programming

• limited perception

• high integration costs

Robots excelled at repetition but struggled with variability. A change in lighting, object shape, workflow, or layout often required costly reprogramming or system downtime.

This rigidity kept robotics largely confined to large-scale manufacturing, particularly automotive and electronics. Small and medium-sized enterprises, logistics, healthcare, agriculture, and construction remained largely manual.

The promise of robotics was clear but its reach was narrow.

What is happening in robotics is not
a technological miracle, but the
convergence of AI, computing power,
economics, and real-world constraints.

Artificial Intelligence Turns Robots into Decision-Making Systems

The first driver behind robotics’ change of scale is the maturation of artificial intelligence.

Modern robots are no longer just executing predefined trajectories. They are increasingly capable of:

• perceiving complex environments

• interpreting visual and sensor data

• understanding high-level instructions

• planning actions dynamically

• adapting to uncertainty

Multimodal AI models combining vision, language, force feedback, and motion allow robots to reason within constraints. This does not mean robots “think” like humans, but they can now make context-aware decisions instead of blindly following scripts.

This shift transforms robots from automated machines into physical AI agents, capable of operating in environments that were previously considered too unpredictable.

Embedded Computing Redefines Autonomy

Equally important is the rise of high-performance embedded computing.

Thanks to new generations of processors and AI accelerators, robots can now perform complex inference directly on board. This enables:

• real-time perception and decision-making

• low-latency control loops

• reduced dependence on cloud connectivity

• improved reliability and safety

• better data sovereignty

Robots no longer need external PCs or centralized servers to function intelligently. They have become edge systems, capable of operating autonomously even in remote or critical environments.

This is a fundamental shift. Intelligence is no longer centralized it is distributed across fleets of machines.

Robots Enter Unstructured, Human-Centric Environments

Robotics is changing scale because robots are no longer designed only for structured spaces.

Alongside traditional industrial arms, we now see:

• autonomous mobile robots navigating busy warehouses

• collaborative robots working safely next to humans

• service robots operating in hospitals and hotels

• agricultural robots adapting to natural terrain

• inspection and maintenance robots in infrastructure

• humanoid robots designed for human-built environments

The defining feature of these robots is not their form factor, but their adaptability. They operate in spaces built for humans, not redesigned for machines.

This marks a major philosophical shift: instead of forcing the world to adapt to robots, robots are adapting to the world.

Labor Shortages Accelerate Adoption

Beyond technology, economics plays a decisive role.

Across industries and regions, companies face:

• aging workforces

• labor shortages in physically demanding jobs

• high turnover rates

• declining interest in repetitive or hazardous tasks

In logistics, agriculture, manufacturing, healthcare, and sanitation, automation is no longer about productivity alone. It is about operational continuity.

Robotics becomes a necessity rather than an optimization tool. In many cases, robots are not replacing workers they are filling positions that no longer attract human labor.

This structural shift is one of the strongest accelerators of large-scale robotic deployment.

Robotics may be less visible than
consumer AI, but its transformation
is deeper, slower and far more structural.

Platform Standardization Fuels the Ecosystem

Another key factor behind robotics’ change of scale is platform convergence.

The robotics sector has long been fragmented, with proprietary hardware, software, and integration methods. That fragmentation is now giving way to:

• shared operating systems and middleware

• common simulation and development tools

• standardized interfaces between robots and IT systems

• cloud-edge hybrid architectures

This standardization reduces development costs, shortens deployment cycles, and lowers barriers to entry for new players. It also allows skills, software, and best practices to transfer across platforms.

Robotics is beginning to resemble modern computing: modular, updateable, and ecosystem-driven.

From Individual Robots to Robotic Infrastructure

Perhaps the most important shift is conceptual.

Robots are no longer treated as isolated machines. Companies now think in terms of:

• robot fleets

• centralized supervision

• orchestration layers

• predictive maintenance

• digital twins

• continuous learning systems

A robot deployed today improves tomorrow through shared data, software updates, and collective learning across fleets. Value increasingly lies in software, data, and integration not just hardware.

Robotics is becoming an infrastructure layer, similar to IT systems or cloud platforms.

Challenges Remain and They Are Significant

Despite this change of scale, robotics still faces real obstacles:

• high upfront investment costs

• cybersecurity risks

• regulatory and safety compliance

• ethical and social concerns

• workforce adaptation and training

Technology is advancing faster than organizational readiness. Deployment success depends not only on engineering, but also on change management, regulation, and human acceptance.

The challenge is no longer whether robots can perform tasks but how societies and industries integrate them responsibly.

2026: A Pivotal Year

What makes this year different is not hype, but alignment.

Technology, economics, and societal needs are converging. Robotics is expanding beyond pilot projects and isolated use cases into scalable, repeatable deployments across sectors.

Manufacturing, logistics, healthcare, agriculture, energy, and public services are all being reshaped by robotic systems that are more autonomous, flexible, and intelligent than ever before.

This shift is irreversible.

A Quiet but Structural Transformation

Robotics may not dominate headlines like consumer AI, but its impact is deeper and more structural. The change of scale we are witnessing this year reflects the maturation of robotics as a foundational technology.

Robots are no longer futuristic promises. They are becoming reliable, adaptable tools embedded in everyday operations.

For Robot Magazine, 2026 marks the moment when robotics transitions from a specialized industrial solution to a cross-sector infrastructure, reshaping how work is performed, how services are delivered, and how physical systems interact with digital intelligence.

The key question is no longer if robotics will scale but how quickly industries and societies will adapt to this new reality.

FAQ – Why Robotics Is Changing Scale in 2026

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Today, whether it’s industrial robots, autonomous vehicles, drones, humanoid robots, or intelligent logistics systems, NVIDIA is everywhere. This dominance is not built on a single product, but on a coherent, integrated, and deeply industrialized ecosystem: Jetson, Isaac, and Omniverse.

This investigation deciphers how NVIDIA has managed to build the world’s most complete platform to design, train, simulate, and deploy intelligent robots at scale and why this strategy places it at the heart of the next industrial revolution.

Robotics enters the era of native AI

Robotics is undergoing a structural transformation. Robots are no longer programmed solely through deterministic rules. They are becoming:

• Perceptive (2D/3D vision, LiDAR, audio)

• Adaptive (continuous learning)

• Autonomous (decision-making in complex environments)

• Connected (edge, cloud, digital twins)

This transformation relies on a key condition: embedded computing power capable of running advanced AI models in real time, while remaining energy-efficient, robust, and industrially deployable.

This is precisely where NVIDIA has taken a decisive lead.

Jetson: the embedded brain of modern robotics

The NVIDIA Jetson range is now the de facto standard for embedded AI in robotics.

Jetson is not just a hardware module. It is a complete platform combining:

• NVIDIA GPUs optimized for AI

• High-performance ARM CPUs

• Dedicated accelerators (Tensor Cores)

• Native support for AI frameworks (CUDA, TensorRT, PyTorch)

• Controlled power consumption

Modules like Jetson Orin can now run simultaneously:

• Computer vision

• SLAM

• Object detection

• Trajectory planning

• Multimodal inference

• Cloud–edge communication

All of this directly on the robot, without permanent reliance on the cloud.

As a result, Jetson powers a vast diversity of systems:
industrial robots, AMRs, agricultural robots, drones, medical robots, humanoids, security robots, and autonomous vehicles.

Jetson has become the “universal brain” of AI-driven robotics.

Isaac: the framework that structures robotic intelligence

If Jetson is the brain, NVIDIA Isaac is the nervous system.

Isaac is a comprehensive software suite dedicated to robotics, designed to work end to end from development to production.

It includes:

• Isaac ROS: native integration with ROS 2, GPU-accelerated

• Isaac Sim: a photorealistic simulation environment

• Perception, manipulation, and navigation libraries

• Reinforcement learning pipelines

• Pre-trained models for robotics

Isaac addresses a central problem in modern robotics: software fragmentation.
Where teams once spent months assembling heterogeneous components, NVIDIA now offers a coherent, hardware-accelerated, and industrial-grade stack.

Isaac ROS, in particular, marks a turning point. It enables ROS nodes to run directly on the GPU, dramatically improving:

• Latency

• Accuracy

• Robustness

• The ability to process complex sensor streams

Omniverse: simulation as a strategic weapon

With Omniverse, NVIDIA changes scale entirely.

Omniverse is not just a simulation tool. It is a collaborative platform for industrial digital twins, built on USD (Universal Scene Description), which has become central to the industry.

For robotics, Omniverse enables:

• Creation of photorealistic environments

• Simulation of thousands of scenarios simultaneously

• Large-scale reinforcement learning training

• Testing of dangerous or rare behaviors

• Connecting simulation and the real world (sim-to-real)

Thanks to Omniverse, robots can learn before they even physically exist.

In automated warehouses, factories, ports, power plants, or smart cities, Omniverse becomes a permanent digital laboratory.

Jetson + Isaac + Omniverse: a closed-loop robotic AI system

NVIDIA’s strength lies in the total integration of these three pillars:

• Omniverse to simulate and train

• Isaac to structure intelligence

• Jetson to execute AI in real-world conditions

This closed loop enables:

• Massive cloud-based training

• Validation via digital twins

• Optimized deployment on real robots

• Field data collection

• Continuous model improvement

Very few players worldwide master this entire chain.

Why NVIDIA is ahead of Google, Microsoft, and Tesla in robotic AI

Each tech giant has a specific strength:

• Google excels in theoretical AI and perception

• Microsoft dominates industrial cloud and orchestration

• Tesla innovates through extreme vertical integration

• Amazon focuses on logistics robotics

But NVIDIA stands out with a unique position:
the convergence point between hardware, AI, simulation, and robotics.

Three key advantages explain this dominance:

1. NVIDIA controls computation
   Robotic AI is computationally intensive. NVIDIA provides GPUs, edge AI, accelerators, frameworks, and low-level optimizations.

2. NVIDIA is manufacturer-neutral
   Unlike Tesla, NVIDIA does not build its own robots. It equips everyone from startups to industrial giants.

3. NVIDIA has industrialized simulation
   Where simulation was once an R&D tool, NVIDIA has made it an industrial pillar.

Humanoids, autonomous vehicles, and general-purpose robots

The Jetson–Isaac–Omniverse ecosystem is now at the core of the most ambitious projects:

• Industrial humanoid robots

• Autonomous vehicles

• General-purpose, multi-task robots

• Military and security systems

• Advanced collaborative robots

NVIDIA is actively working on foundation models for robotics, capable of transferring skills across tasks, environments, and platforms.

The vision is clear: create a universal robotic intelligence, adaptable to any mechanical body.

Toward a global standard for robotic AI

As the NVIDIA ecosystem gains traction, one question emerges:
Is Jetson–Isaac–Omniverse becoming the global standard for robotic AI?

More and more signals point in that direction:

• Massive industrial adoption

• Native integration with ROS 2

• Cloud compatibility (Azure, AWS, GCP)

• Strong developer support

• A clear roadmap toward generative robotic AI

In the long term, NVIDIA could play for robotics the role Intel once played for PCs but with a far broader and more systemic ambition.

NVIDIA, the silent architect of the robotics of the future

NVIDIA does not merely accompany the robotic revolution.
It is designing its deep architecture.

By simultaneously mastering:

• Computation

• AI

• Simulation

• Embedded deployment

NVIDIA establishes itself as the central player in global robotic AI.

In the coming years, most intelligent robots will not function solely thanks to algorithms, but thanks to an invisible, standardized, and optimized infrastructure.

And that infrastructure already has a name: NVIDIA.

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In a region with a strong industrial culture, Cetim’s presence takes on a particular significance: that of an organisation capable of making technologies often seen as “too complex” or “too futuristic” for SMEs more accessible, as highlighted by the testimony of Michael Grandidier, Operations Director at Fameca. The 2025 edition will therefore shine a spotlight on two innovations: a multi-sensor cobot cell dedicated to quality control, and IANote, an AI demonstrator capable of detecting anomalies in just a few seconds.

A Multi-Sensor Cobot Cell to Revolutionize Quality Control

The first solution presented by Cetim perfectly illustrates the rapid evolution of collaborative robotics in industry. It is a multi-sensor cobot cell designed to conduct feasibility studies for quality control under semi-industrial conditions.

Equipped with a latest-generation cobot, this cell can integrate various inspection technologies:

• material health monitoring,

• visual defect inspection,

• dimensional control,

• advanced non-destructive testing techniques,

• smart sensors and vision modules.

One of the major strengths of this demonstrator is its flexibility: manufacturers can combine several technologies, either successively or simultaneously, to identify the most relevant inspection solution for their parts and workflows.

Cetim will also present a real-world application on a welded mechanical assembly, showing how a collaborative robot can standardize and automate inspection tasks that are typically long and repetitive. The objective is clear: enhance repeatability, reduce human error, and allow operators to focus on higher-value tasks.

This cell aligns with the current evolution of French factories, where cobots no longer merely assist they optimize, secure, and enhance key processes.

IANote: An AI Demonstrator That Trains Its Models in 5 Seconds

The other innovation showcased at BE 5.0 will be presented as a premiere: the IANote demonstrator, an artificial intelligence solution dedicated to detecting anomalies on industrial parts.

While traditional systems require long and tedious training phases, IANote stands out thanks to an unprecedented capability:

ultra-fast training in just 5 seconds,
performed directly on defect-free parts,
requiring no prior database or expert configuration.

In practice, the AI instantly calibrates itself on a compliant part, then detects any surface, appearance or geometric anomaly in real time. This “zero defect, zero history” approach opens new possibilities, especially for production lines with short series or frequent product changes.

IANote reflects a major trend in industrial robotics: the rise of embedded AI fast, intuitive, field-ready, and operable directly by production teams, without the need for data scientists.

Circular Economy: Another Pillar of Industrial Transformation

Cetim’s booth will also highlight several achievements related to the circular economy a domain increasingly central to industrial strategies. Showcased items will include:

• eco-designed products,

• parts containing recycled materials,

• examples of retrofitted industrial equipment,

• demonstrators focused on extending lifespan.

These projects illustrate Cetim’s ability to support both technological modernization and the ecological transition of manufacturers.

A Conference on Connected Hydraulic Systems

One of the key highlights of the event will be a technical conference led by Nicolas Bedouin, an expert from Cetim, on Tuesday, November 25, from 10:45 to 11:15 AM (Jupiter room). The theme:

“Connected hydraulic units, IIoT and industrial monitoring.”

A topic that resonates with current industrial concerns: how to make hydraulic systems smarter, more predictive, and more energy-efficient through sensors and connectivity.

Quatrium Grand Est: An Acceleration Platform for Manufacturers

All showcased innovations come from Quatrium Grand Est, the acceleration platform located at KM0 in Mulhouse. This structure offers:

• personalized diagnostics,

• assistance in defining an action plan,

• support for selecting technical solutions,

• guidance through industrialization,

• a network of technological, financial, and training partners.

Manufacturers can test technologies on their own parts a key advantage for mitigating investment risks.

Cetim: More Central Than Ever to Industrial Transformation

With more than 1,100 experts, engineers, and PhDs, Cetim confirms at BE 5.0 its central role in modernizing French factories and integrating key technologies of the industry of the future: collaborative robotics, AI, smart sensors, monitoring, circular economy, and automation.

By focusing on concrete, testable, and rapidly deployable solutions, the institution positions itself as a strategic partner for a more efficient, sustainable, and competitive industry.

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This cohort of 80 French companies embodies the national innovation strategy in sectors deemed essential for the future: artificial intelligence, cybersecurity, quantum technologies, electronics, space… and robotics.

This year, robotics shines particularly bright. Thirteen companies from this rapidly growing ecosystem are among the winners, illustrating France’s ambition to strengthen its position in physical and intelligent technologies those that sustainably transform industry, healthcare, and security.

Robotics: a Pillar of France’s Technological Strategy

French robotics now occupies a central place in the country’s industrial vision.
It is no longer limited to factory robots: it is entering hospitals, the seas, cities, battlefields, and even pharmaceutical laboratories.
The startups selected by French Tech 2030 demonstrate a clear ambition: to develop strategic technologies that are mastered and produced in France.

This approach fits within a broader framework: strengthening competitiveness, sustainability, and the security of French infrastructure while creating skilled jobs.

Robots that Fascinate, Assist, and Protect

DRONISOS: Autonomous drone swarms made in Bordeaux

Based in Bordeaux, Dronisos has become the global leader in autonomous drone shows.
Thanks to its proprietary systems designed and manufactured in France, the company transforms the sky into a living stage capable of mobilizing thousands of synchronized drones.
This technological feat now has applications in event security and aerial mapping.

ELISTAIR: Intelligent aerial surveillance

Elistair has established itself in continuous aerial surveillance with captive drones capable of long, uninterrupted missions.
Used for military operations, civil security, or infrastructure protection, these systems provide real-time intelligence and help safeguard populations.

ENCHANTED TOOLS: Humanoids at the service of humans

With its Mirokaï robots, Enchanted Tools is reinventing humanoid robotics.
Combining artificial intelligence, emotional design, and ergonomics, these robots assist staff in hospitals, hotels, and retail environments.
Partnering with Google DeepMind and NVIDIA, the startup aims to make robotics more human, intuitive, and socially useful in a world facing labor shortages in service sectors.

GANYMED ROBOTICS: Precision surgery

Ganymed Robotics develops next-generation surgical robots for orthopedics.
Its markerless system, guided by predictive planning, allows surgical gestures of extreme precision.
This technology symbolizes French medical excellence and the rise of high-value medical robotics.

ROBEAUTÉ: Exploring the brain with a microrobot

Robeauté is developing a neurosurgical microrobot capable of navigating inside the human brain to diagnose or treat pathologies.
This pioneering innovation, unique in the world, demonstrates France’s ability to miniaturize robotics while meeting the strictest medical standards.

IADYS: Blue robotics for the environment

In Roquefort-la-Bédoule, IADYS develops autonomous aquatic robots to collect floating waste and hydrocarbons.
Its flagship robot, Jellyfishbot, protects biodiversity and ensures safe human operations in port or industrial zones.
In partnership with Orange, IADYS also integrates 5G stations into its solutions, showing how ecology and connectivity can coexist.

SHARK ROBOTICS: Protecting human lives

Based in La Rochelle, Shark Robotics is a key player in terrestrial intervention robotics.
Its fully electric robots assist firefighters and military forces in high-risk missions: fires, industrial accidents, and demining.
Recognized in over 15 countries, the brand has become a symbol of French expertise in safety robotics.

INBOLT, NIRYO, and GALAM ROBOTICS: The factory of the future

Three companies from the 2025 cohort represent the renaissance of French industrial robotics:

• Inbolt equips existing robots with embedded AI capable of recognizing non-standard parts and adapting to complex tasks.

• Niryo, in Hauts-de-France, democratizes robotics by designing collaborative arms accessible to SMEs and engineering schools.

• Galam Robotics deploys modular logistics robots capable of managing high-rotation flows, essential for e-commerce and distribution.

These solutions redefine the flexibility and productivity of French industry.

TIHIVE and STEERLIGHT: Augmented vision for production

TiHive, based in Grenoble, combines terahertz imaging and AI to detect material defects in real-time, contactlessly and non-destructively.
SteerLight develops a new generation of optical LiDAR sensors, essential for 3D perception in mobile robots and autonomous vehicles.
These innovations show that French robotics excels in both optical precision and software intelligence.

Numbers Confirm the Momentum

The 80 companies in the 2025 cohort report impressive results:

• €1.1 billion raised

• 353 patents filed

• 45 factories existing or planned

• 3,200 direct jobs created

• €138 million in cumulative revenue

For robotics, these figures reflect a reality: the sector is no longer experimental. It is becoming industrial, structured, and export-oriented.
It aligns with France’s major strategic priorities: reindustrialization, energy transition, and technological sovereignty.

Robotics with a Positive Impact

This French Tech 2030 cohort illustrates a paradigm shift: robotics is no longer a lab gadget but a tool for societal transformation.
Whether assisting surgeons, helping firefighters, protecting the planet, or automating production, these technologies reflect a shared ambition: to make robotics a force for progress.

As Christel Heydemann, godmother of this edition and CEO of Orange, emphasizes:

“These companies embody ambitious and responsible French technology. They show that innovation can be high-performing, sustainable, and human.”

The robotics startups of the 2025 French Tech 2030 cohort outline a coherent and visionary industrial strategy.
They prove that France is no longer content with merely innovating: it is building a complete ecosystem capable of designing, producing, and exporting robotic solutions worldwide.

Far from being an isolated sector, robotics is thus becoming one of the pillars of France’s strategic priorities, at the intersection of technology, industrial sovereignty, and sustainable development.

FAQ – French Tech 2030: Focus on Robotics

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The gain? An estimated $12.6 billion in savings by 2027 and a reduction of 30 cents per shipped package.

But behind these cold numbers lies a real question for the robotics industry: is the human becoming “optional” in logistics? And if yes, what roles will robots play, what skills will be needed, and what risks will affect jobs?

The Current State: Where Does Amazon Stand in Robotics?

Amazon is not new to robotics. The company has already deployed more than one million robots across its warehouses worldwide. Automated systems are integrated into many fulfillment centers, and robotics is a core pillar of its logistics strategy.

According to the leaked documents, Amazon’s robotics division aims to push automation to 75% of operations. More specifically, between 2025 and 2027, automation could help Amazon avoid about 160,000 new hires in the U.S.

Amazon, however, issued a statement saying the leaked documents do not reflect “the company’s overall strategy.”

So on one side, a massive robotization roadmap. On the other, a message of caution, affirming that jobs are not being cut, but that future hiring needs may decrease.

What Does This Mean for the Robotics Industry?

For robot manufacturers, integrators, and suppliers, here are key implications:

Major Opportunity

• A 75% automation goal means rising demand for autonomous mobile robots, robotic picking arms, intelligent sorting systems, AGVs/AMRs.

• Logistics centers are becoming high-tech showcases: cobots + AI + machine vision replacing or assisting humans.

• Amazon’s pilot deployments can become reference models for other major players. As economist Daron Acemoglu said:
  “Once Amazon succeeds, everyone else will follow.”

But Also Serious Challenges

• The “last meter” of automation is still very human: irregular objects, varying packaging, dynamic handling.

• Upfront investment costs are high, and ROI depends on very large volumes.

• Integration across robot + software + AI + data is complex; partnerships are essential.

• Maintenance, supervision, security (physical & cyber) become strategic.
  Replacing humans does not mean removing humans from the operational loop.

Which Jobs Are at Risk or Transforming?

The narrative suggests thousands of warehouse workers could see their roles reduced or replaced. However, it’s critical to nuance:

• This is not mainly about layoffs, but about jobs that will not be created in a more automated system.

• Many roles will shift:

  • Warehouse operators → Robot operators

  • Manual handlers → Robotics maintenance technicians

  • Inventory staff → Data & workflow analysts

• Skills will move towards robotics, automation, maintenance, programming, AI, and logistics data.

This means reskilling and professional training become central.

Social and Economic Impact

If a player as large as Amazon avoids hiring hundreds of thousands of low-skilled workers, the entire logistics sector will follow.

• Low-skilled roles are most exposed to automation.

• Employability challenges arise: how to retrain displaced workers?

• Geographical inequality: automated hubs may centralize jobs in high-tech zones, leaving others behind.

• For developing regions (including Africa), the question becomes:

  • Will they adopt automation too?

  • Will they develop local talent for robot maintenance and integration?

Special Focus: Emerging Markets

If Amazon sets the global benchmark, international retail and logistics players will align.

Opportunity:

• Develop local robotics supply chains (maintenance, integration, assembly).

Risk:

• If local expertise is not developed, jobs and added value remain abroad.

Therefore:

• Robots must be modular, affordable, flexible, adapted to local warehouse contexts.

• Training in robotics & logistics data must scale rapidly.

Ethics & Responsibility

Mass automation raises structural questions:

So, Are Humans Becoming Optional?

Not entirely at least not yet.

Humans will continue working in warehouses, but their role is changing:
From manual executors → supervisors of intelligent systems.

The robotics industry has a responsibility not only to innovate but also to support skill development, job transformation, and equitable growth.

Key Figures to Remember

Amazon’s Key Robots

1⃣ Proteus

Amazon’s first fully autonomous mobile robot, designed with built-in safety for shared environments. Using 3D vision and LIDAR detection, Proteus moves freely inside warehouses to transport pallets and storage racks without needing safety cages.

A symbol of a new generation of logistics cobots that can safely work alongside humans.

2⃣ Sparrow

A precision item-handling and sorting robot. Designed to recognize, grasp, and move over 60% of Amazon’s product catalog. Its robotic arm combines AI + computer vision to sort up to 1,000 items per hour.

One of Amazon’s most advanced prototypes a major breakthrough in robotic picking.

3⃣ Robin & Cardinal

Automated sorting systems based on machine vision and adaptive conveyors.

• Robin sorts parcels based on destination.

• Cardinal is an upgraded version that can handle heavier or irregularly shaped items.

These robots are already operating in multiple U.S. fulfillment centers.

4⃣ Pegasus & Xanthus

Two generations of AMRs (Autonomous Mobile Robots), evolving from the technology acquired with Kiva Systems. They transport entire inventory bins across warehouses.

These AMRs form the backbone of Amazon’s massive warehouse automation since 2012.

5⃣ Sequoia

A new modular system launched in 2023 to improve order preparation and reduce cycle time by 25% between storage and shipment.

One of Amazon’s pilot platforms for the future fully automated warehouse.

Key Suppliers & Strategic Partners

1. Agility Robotics – Digit

• A humanoid biped robot designed to handle boxes in warehouses.
Amazon has invested in Agility Robotics and is deploying its first Digit units in Oregon.
Digit can walk, lift, and load, targeting strenuous or repetitive tasks that AMRs cannot perform.

Impact: Paves the way for semi-humanoid warehouses by 2030.

2. Geek+ Robotics (China)

A leading supplier of AMRs with 30,000+ robots in 30 countries.
Amazon has drawn inspiration from Geek+ modular AMR architectures.
Geek+ is a leader in goods-to-person systems, where robots bring items directly to workers.

Impact: Helps standardize mobile warehouse robotics worldwide.

3. Boston Dynamics – Stretch

A robot specialized in carton handling using AI-driven vision and a flexible robotic arm.
Stretch can unload a full trailer in about one hour, and is already in use in multiple U.S. logistics hubs.
Amazon is evaluating Stretch’s role in automating truck unloading operations.

Impact: Automates some of the most physically demanding and high-risk tasks.

The Amazon Model Will Set the Standard

This large-scale deployment acts as an open-air laboratory for the entire logistics and industrial robotics sector.

• Competitors like Walmart, DHL, JD.com are closely observing the outcomes.

• European and Asian system integrators are already adapting to the new standard:
  AMR + AI + Human Supervision.

• Universities such as Stanford, Carnegie Mellon, and EPFL are launching programs dedicated to next-generation logistics robotics.

Amazon is pioneering an era of intelligent warehouses where humans shift from manual labor to system supervision.

What It Means

The future of work and logistics will increasingly be shaped by robotic systems and AI-driven workflows.

FAQ – Amazon Warehouse Automation

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Global Robotics Clusters are now the true epicenters of robotic innovation. These ecosystems connect companies, universities, laboratories, investors, and governments around a single mission: accelerating the transition toward an automated, sustainable, and intelligent economy.

From Boston to Odense, Daegu to Shenzhen, these clusters form a worldwide constellation of talent and technology. Their interconnection through the Global Robot Cluster (GRC) symbolizes the globalization of robotics, with a clear goal: sharing knowledge and building common standards.

1. What Is a Robotics Cluster?

A robotics cluster is an innovation hub bringing together companies, researchers, and institutions focused on the design, manufacturing, and deployment of robots.

These clusters enable:
• Sharing of infrastructure (labs, test benches, data centers)
• Accelerated research and development
• Connections between startups and large corporations
• Attraction of international talent
• Creation of local synergies with global impact

The Global Robot Cluster (GRC), founded during the Global Robotics Business Forum in Daegu (South Korea) in 2018, now links these hubs into an international network of robotic innovation.
Its mission: foster collaboration, harmonize standards, and promote ethical and inclusive robotics.

2. Global Overview of Major Robotics Clusters

Odense Robotics – The Danish Miracle

• Location: Odense, Denmark

• Specialty: Collaborative robotics, industrial automation

• Highlights: Over 130 companies employing 3,600 people. Odense brands itself as “the world’s robotics capital.”

• Strengths: Strong government support and synergy between startups and universities.

• Challenge: Maintaining its lead amid growing European and Asian competition.

RoboValley – Europe’s Silicon Valley of Robotics

• Location: Delft, Netherlands

• Specialty: Research, technology transfer, academic robotics

• Highlights: Built around the TU Delft Robotics Institute, connecting universities, investors, and companies.

• Goal: Make Delft the nerve center of European robotics with a €100 million investment fund.

MassRobotics & USARC – The U.S. Innovation Powerhouse

• Major Clusters:

  • MassRobotics (Boston)

  • Silicon Valley Robotics (California)

  • Pittsburgh Robotics Network
    Together, they form the US Alliance of Robotics Clusters (USARC).
    These hubs connect research (MIT, Carnegie Mellon), startups, and investors to maintain U.S. leadership.

• Specialties: Service robotics, logistics, defense, and medical robotics.

China Robot Industry Alliance – The Global Machine

• Location: Beijing, Shanghai, Shenzhen

• Specialty: Industrial robotics, humanoid robots, components

• Key Data: China installs over 50% of the world’s industrial robots.

• Strengths: Massive production capacity, strong government support.

• Challenge: Shifting from quantity to quality and strengthening intellectual property.

Japan Robot Association – The Culture of Excellence

• Location: Tokyo, Osaka, Nagoya

• Specialty: Service robotics, industrial robotics, humanoid robots (Honda, SoftBank Robotics, Fanuc)

• Highlights: Deep social integration of robotics in healthcare, education, and assistance.

• Challenge: Aging population and need for innovation in service robotics.

REPA & Daegu Cluster – South Korea, the Conductor

• Location: Daegu, South Korea

• Specialty: Medical robotics, AI integration, industrial robotics

• Global Role: Hosts the secretariat of the Global Robot Cluster (GRC).

• Goal: Establish Daegu as the global capital of intelligent robotics.

COBOTEAM & Robotics Place – The French Ecosystem

• COBOTEAM (Lyon): Network focused on collaborative robotics (cobots).

• Robotics Place (Toulouse): Gathers players in industrial, drone, and service robotics.

• French Strengths: Engineering, public research, startups in healthcare, agri-food, and logistics.

• Challenge: Better regional coordination and stronger international visibility.

German Robotics Association – Germany, the Industrial Stronghold

• Location: Munich, Stuttgart, Hanover

• Specialty: Industrial robotics, cobotics, embedded AI

• Strengths: Industry 4.0 leadership, world-class engineering, global standards (KUKA, ABB Germany).

• Challenge: Rising costs and industrial aging.

SIAA (Singapore) & MyRAS (Malaysia) – Emerging Asian Clusters

• Specialty: Smart cities, service robotics, urban automation

• Strengths: Strong government support, national incubators, regional collaboration.

• Goal: Become the hub of tropical and urban robotics in Southeast Asia.

Swiss Robotics & Innovation Network – Alpine Europe in Motion

• Location: Lausanne, Zurich

• Major Institutes: EPFL, ETH Zurich

• Specialty: Drones, medical robotics, precision mechatronics

• Strengths: Academic excellence, deeptech startups.

• Challenge: Scaling industrialization.

Bristol Robotics Laboratory – British Excellence

• Location: Bristol, United Kingdom

• Specialty: Humanoid robotics, cognitive robotics, human-machine interaction

• Highlights: Europe’s only joint inter-university robotics lab (UWE + University of Bristol).

• Goal: Make the UK a leader in social and educational robotics.

3. The Global Robot Cluster (GRC): A Worldwide Innovation Network

The Global Robot Cluster (GRC) unites these hubs around three strategic pillars:

1. Global Interoperability – promoting shared standards for safety, AI, and communication between robots.

2. Scientific Cooperation – facilitating cross-border research, expert exchanges, and joint programs.

3. Inclusion and Sustainability – encouraging cluster creation in emerging regions like Africa and Latin America.

Headquartered in Daegu, with members such as MassRobotics, COBOTEAM, REPA, SIAA, MyRAS, Silicon Valley Robotics, and others, the GRC is the world’s most influential robotics network.

4. Challenges and Opportunities for Robotics Clusters

Global Challenges
• Funding R&D and attracting talent
• Intellectual property and trust among stakeholders
• Standardization and ethics of autonomous systems
• Bridging the technological gap between the Global North and South

Opportunities
• Pooling infrastructure and expertise
• Launching international calls for innovation projects
• Accelerating technology transfer from research to market
• Creating interoperable and ethical robots at a global scale

Toward a Global Robotic Ecosystem

Global Robotics Clusters represent more than just a network they embody the collaborative future of robotics.
By connecting innovation hubs from Boston, Odense, Daegu, and Shenzhen, the GRC is creating a worldwide technological continuum a kind of neural network for robotics.

For emerging countries and ambitious startups, joining this movement means gaining access to the heart of the future robotic economy.
The world is moving toward a model where each local cluster feeds into a global network transforming the planet into a vast laboratory for robotics.

FAQ – Global Robotics Clusters

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Discover Europe’s leading robotics factories, from humanoid pioneers in Spain and Germany to industrial giants in France, the UK, and Scandinavia.

Robotics is no longer confined to research labs. Across Europe, factories are now producing some of the world’s most advanced robots, from humanoid prototypes to industrial automation systems. As the demand for service robots, collaborative robots, and humanoid assistants grows, Europe is positioning itself as a global competitor to the United States and Asia. This article explores the key robotics factories in Europe, focusing on humanoid manufacturers while also highlighting the continent’s industrial robotics hubs.

Spain: PAL Robotics and the humanoid hub of Barcelona

Barcelona is home to PAL Robotics, one of Europe’s most established humanoid robot manufacturers. Founded in 2004, the company has developed a range of humanoids, including REEM-C and ARI, designed for research, service applications, and human-robot interaction studies.

PAL Robotics’ production facility integrates closely with European research institutions, making it a hub for innovation. Their humanoids are used in universities and projects funded by the European Union, focusing on areas such as elderly care, customer service, and autonomous navigation. By combining engineering expertise with partnerships across Europe, PAL Robotics has positioned Spain as a reference point in humanoid robotics.

Germany: NEURA Robotics and the industrial strength

Germany, already known as a leader in industrial automation, is expanding into humanoid robotics with companies like NEURA Robotics. Based in Metzingen, NEURA develops cognitive robots such as 4NE-1, a humanoid platform designed to collaborate with humans in logistics, manufacturing, and healthcare.

German factories benefit from the country’s strong Industry 4.0 ecosystem, where robotics, artificial intelligence, and sensor technologies converge. NEURA Robotics exemplifies this integration by embedding advanced perception and decision-making into its humanoids. This positions Germany not only as a supplier of industrial arms through companies like KUKA, but also as a future powerhouse in humanoid production.

United Kingdom: Ameca and expressive humanoids

In Cornwall, Engineered Arts has gained international attention with its humanoid robot Ameca, famous for its realistic facial expressions and fluid interactions. Unlike purely industrial robots, Ameca focuses on natural communication, making it ideal for exhibitions, entertainment, and human-machine interface testing.

The UK’s robotics factories reflect its strength in creativity and design. Engineered Arts has built a reputation for producing humanoids that bridge the gap between research and public engagement. While these humanoids are not yet mass-produced at industrial scale, they are critical for advancing human-robot interaction technologies that will influence future manufacturing and service robots.

France: Aldebaran, NAO & Pepper – now under Maxvision

France’s robotics sector gained global recognition through Aldebaran Robotics, later acquired by SoftBank Robotics, with the development of the humanoids NAO and Pepper. However, in 2025 Aldebaran entered receivership.

On July 10, 2025, Maxvision Technology Corp. acquired Aldebaran’s core assets in a judicial auction for about €900,000. The purchase included the intellectual property, patents, and rights associated with the NAO and Pepper humanoid robots.

Maxvision announced that it would maintain the Aldebaran brand in France, retain the local team, and continue supporting customers without layoffs. At the same time, production may partially shift to China to leverage Maxvision’s manufacturing capacity and supply chains. This acquisition marks a new chapter for the NAO and Pepper platforms, ensuring their continued presence in the global humanoid market while giving Maxvision a foothold in Europe.

Scandinavia: 1X Technologies in Norway

Norway is entering the humanoid race through 1X Technologies, a company backed by major investors including OpenAI. Their humanoid platform, NEO Beta, is being prepared for manufacturing in Moss, Norway.

Unlike earlier humanoid projects, 1X focuses on practical deployment in security, logistics, and domestic assistance. The choice of Norway as a manufacturing site underscores Europe’s growing ambition to compete directly with American companies like Figure AI and Tesla’s Optimus. By building humanoids in Scandinavia, 1X is expanding Europe’s geographic footprint in advanced robotics production.

Beyond humanoids: Europe’s industrial robotics factories

While humanoid robotics attracts media attention, Europe’s industrial robotics factories remain the backbone of automation. Companies such as KUKA in Germany, ABB Robotics in Switzerland and Sweden, and Comau in Italy dominate the production of robotic arms and automation systems.

These factories supply industries ranging from automotive to electronics, ensuring Europe maintains its competitive edge in global manufacturing. Humanoid robotics is expected to complement, rather than replace, these systems by taking on tasks requiring greater flexibility and interaction with human workers. The coexistence of industrial and humanoid factories demonstrates the breadth of Europe’s robotics ecosystem.

Europe’s robotics factories reflect a unique blend of industrial tradition and cutting-edge research. From Barcelona’s PAL Robotics to Germany’s NEURA Robotics, the UK’s Engineered Arts, France’s Aldebaran now under Maxvision, and Norway’s 1X Technologies, the continent is home to diverse players pushing the boundaries of humanoid design and production.

At the same time, industrial robotics leaders such as KUKA, ABB, and Comau ensure Europe retains a strong position in global automation. Together, these factories are not only producing machines but also shaping how humans and robots will collaborate in the future. Europe is not following the robotics revolution it is building it.

FAQ: Europe’s Robotics Factories

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