According to several industry estimates, the global humanoid robot market could reach between $30 billion and $60 billion by 2035, with annual growth exceeding 35%. Yet today, less than 1% of industrial companies use humanoids in real production environments. The gap between potential and adoption is telling.

From Technical Demonstration to Industrial Reality

Recent advances in robotics, driven by artificial intelligence and imitation learning, have made it possible to cross a major threshold. In 2025, several prototypes capable of performing picking or assembly tasks were unveiled. In 2026, some manufacturers are announcing tests involving fleets of 10 to 100 robots in controlled environments.

But those figures remain marginal. For comparison, a single automotive plant can deploy more than 1,000 traditional industrial robots.

The transition toward mass adoption involves challenges of a completely different nature:

• System standardization
• Large-scale maintenance
• Software interoperability
• Total cost of ownership (TCO)

Today, the cost of a humanoid robot still ranges between $50,000 and $150,000, which significantly limits large-scale deployment.

The real challenge is no longer
making a robot walk, but making
it work at scale.

We are no longer selling machines,
but ecosystems where hardware is
only the visible part of the data layer.

A Redefinition of the Robotics Model

The traditional robotics framework is evolving toward a systemic approach. In 2026, the most advanced players are no longer selling robots alone, but complete solutions integrating:

• Hardware
• Software
• Infrastructure
• Services
• Data

There is a clear convergence with SaaS models, where value shifts toward operations and data management.

Humanoid robotics is entering a new phase. After the era of technological innovation (2015–2025), the decade 2025–2035 will be defined by large-scale deployment.

The bottleneck has shifted toward infrastructure, regulation, and market integration. The companies that will dominate this market will not simply be those designing the most advanced robots, but those capable of deploying them at scale in real-world environments.

The next revolution will not be technological. It will be operational.

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A technical comparison at the heart of processors and protocols.

Rockwell Automation: The Strength of “Logix” and EtherNet/IP

The Milwaukee giant is built on one philosophy: The Connected Enterprise. Rockwell’s architecture is centered on the Logix controller family (ControlLogix and CompactLogix) and the Studio 5000 development environment.

Technical DNA:

Core protocol: Everything is built around EtherNet/IP. Unlike others that rely on proprietary layers, Rockwell uses CIP (Common Industrial Protocol) over standard Ethernet. This makes integration with enterprise IT layers easier, with Cisco as a long-time partner.

Programming philosophy: The approach is tag-based. Engineers do not manipulate raw memory addresses, but named variables directly at the firmware level.

Strengths: Exceptional native integration between drives (PowerFlex), HMIs (FactoryTalk), and PLCs. It is the “Apple” of industry: a closed ecosystem, but one that runs with remarkable smoothness.

Robot Magazine verdict: Ideal for large-scale process projects and heavy industry, where maintenance must be simplified as much as possible.

Automation is no longer a
hardware choice, it is a
20-year strategy.

Schneider Electric: EcoStruxure and Universal Openness

Schneider Electric has undergone a spectacular transformation, moving from a hardware manufacturer to a leader in industrial software. Its EcoStruxure architecture positions itself as the most open on the market, relying heavily on international standards.

Technical DNA:

Software convergence: With the acquisition of AVEVA, Schneider offers full digital continuity, from sensor to cloud. The PLC (M580 or M262) is no longer more than a node in a broader information network.

IEC 61499 innovation: Schneider is at the forefront of the IEC 61499 standard through EcoStruxure Automation Expert. Unlike the classic IEC 61131 standard, which is cyclical, IEC 61499 is event-driven and allows intelligence to be distributed: a block of code can run equally well in a speed drive or in the central PLC.

Strengths: Unmatched energy management. It is the architecture of choice for smart factories seeking to correlate power consumption with productivity.

Robot Magazine verdict: The most mature solution for those who want to break down silos between pure automation and data management (Big Data/AI).

Beckhoff: The PC-Based Revolution and the Power of EtherCAT

While Rockwell and Schneider are evolving the traditional PLC, German company Beckhoff has essentially eliminated it and replaced it with an industrial PC (IPC).

Technical DNA:

TwinCAT: The core of the system. It is a software platform that transforms a Windows kernel into a hard real-time operating system. It uses the computing power of Intel and AMD processors to drive ultra-complex machines.

Master of EtherCAT: Beckhoff invented EtherCAT, the fastest fieldbus in the world. Unlike EtherNet/IP, which sends individual packets, EtherCAT reads and writes data on the fly within a single frame that passes through all modules. The result: cycle times below 100 microseconds.

IT/OT integration: Beckhoff pioneered the use of C++ and C# directly in industrial control, alongside traditional Ladder Logic and Structured Text.

Robot Magazine verdict: The ultimate weapon for precision robotics, high-speed packaging, and special-purpose machines requiring intensive mathematical computation.

Topology Comparison: A Clash of Cultures

In Industry 4.0, software is
the new master of the
forge.

In-Depth Analysis: The Performance Duel

Motion control

In robotics, Beckhoff remains one step ahead thanks to EtherCAT. The synchronization of hundreds of axes happens with no perceptible latency. However, Rockwell has responded with its intelligent transport technologies, such as iTRAK, offering simplified mechanical and electronic integration for next-generation conveyor systems. Schneider, for its part, stands out with its Lexium range and its ability to integrate Delta or articulated robots through rich software libraries.

Cybersecurity: a critical challenge

Rockwell and Schneider have both adopted IEC 62443-4-2 certification, integrating security chips such as Secure Boot directly into their CPUs. Schneider emphasizes traffic transparency through integrated firewalls, while Rockwell focuses on granular access-right management via FactoryTalk Security. Beckhoff, by using Windows as its foundation, benefits from global security updates but requires deeper IT expertise to secure the operating system properly.

Which architecture for which future?

The choice between these three giants depends on your industrial legacy and your technological ambitions:

Choose Rockwell if you operate in North America or if you need a standardized architecture that is easy to troubleshoot by technicians familiar with clear and powerful logic systems.

Choose Schneider Electric if your priority is energy transition, software openness, and the desire to deploy a decentralized and agile architecture based on IEC 61499.

Choose Beckhoff if you are pushing the limits of physics: extreme cycle rates, complex machine vision integration, or the need to merge high-level software code with industrial automation.

In the era of software-defined manufacturing, the boundary between these players is becoming thinner, but their architectural philosophies remain essential compasses for the engineers of tomorrow.

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At a time when optimizing production lines is becoming a strategic priority for manufacturers, Liebherr-Verzahntechnik GmbH has unveiled, through a recent press release, a range of palletizing solutions designed to meet increasingly diverse industrial needs. From small production runs to complex manufacturing environments, the German industrial group highlights a practical and scalable approach to automation.

A legacy of innovation

At Liebherr, automation is not just a product, but the result of a deeply rooted engineering culture. The legacy of Hans Liebherr, founder of the group, is reflected in the company’s ability to design in-house solutions where the market falls short. It was precisely this philosophy that led to the development of the PHS Pro pallet handling system in 2008.

At the time, faced with a lack of suitable solutions for its own industrial needs, the company chose to develop its own system. The result was a complete automation solution capable of adapting to complex industrial environments while remaining scalable.

Automation is becoming a
strategic lever for optimizing
production lines.

From custom-made to modular

Building on its success, the PHS Pro evolved into the PHS Allround, a modular version designed to make automation more accessible. This system is particularly suited to companies with limited space or those wishing to invest progressively.

The PHS Allround stands out through its standardized modular design, allowing step-by-step expansion. Available in several configurations, it offers options such as front machine access, double-fork systems, and extended travel distances for loading.

This modularity is a major advantage for industrial SMEs, which can integrate automation solutions without compromising their ability to adapt in the future.

Significant performance gains

Beyond flexibility, Liebherr’s palletizing solutions deliver notable performance gains. According to the press release, cost per part can be reduced by up to 40%, while machine utilization rates can reach 90%. One of the most striking benefits is the ability to operate without personnel, particularly in automated production environments.

These systems are especially well suited to one-off production and small batch manufacturing, a segment that is growing rapidly in industry, particularly with the rise of product customization.

Real-World use cases

Several examples illustrate the diversity of possible applications.

In the field of metrology, a company in southern Germany uses a PHS Allround to automate a measuring machine. A specific software adaptation was developed to integrate the machine into the system, demonstrating Liebherr’s ability to meet unconventional needs.

Another emblematic case is the installation of a PHS Pro in 2021 at a manufacturer of mechanical components. This system integrates three robotic cells equipped with machine vision, capable of recognizing up to 20 part variants. The entire process from sorting raw parts to machining, cleaning, and discharge is fully automated.

Finally, at Renault’s Cléon site, Liebherr deployed a solution combining a rotary loading system (RLS) and bin-picking technology. This setup optimizes the production flow of crankshafts while integrating intelligent management of incoming parts at the start of the line.

Palletizing solutions can be
adapted to a wide range of
industrial sectors.

Automation serving multiple industries

Liebherr’s palletizing solutions are now used across many sectors: construction, agriculture, aerospace, machine tool manufacturing, and mold production.

This cross-sector relevance confirms a broader trend: automation is no longer reserved for large standardized production lines, but is now expanding into varied environments, often characterized by lower volumes and greater complexity.

Toward accessible and intelligent automation

Beyond technical performance, Liebherr’s positioning is based on comprehensive support for manufacturers. Choosing the right system, integrating it into existing operations, and ensuring proper follow-up all appear to be key success factors.

As product manager Agnès Schauppel points out in the press release, the added value lies in the ability to combine experience, expertise, and creativity. This approach aims to make automation more accessible while meeting growing demands for flexibility and competitiveness.

A strategic challenge for european industry

In a context of accelerated industrial transformation, marked by cost pressure, labor shortages, and the need to increase productivity, automated palletizing solutions appear to be a strategic lever.

The modular and scalable approach developed by Liebherr fits perfectly within this dynamic. It allows manufacturers to adopt automation progressively, without overly heavy initial investments, while maintaining room for future development.

At a time when European industry is seeking to strengthen its competitiveness against international players, this type of solution could well play a key role in modernizing production tools.

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As a media partner, Robot Magazine will closely follow this new edition and invites its readers engineers, industrial leaders, integrators, and robotics enthusiasts to explore an event that embodies the ongoing transformation in factories and production lines.

A Comprehensive Overview of Modern Industry

Global Industrie stands out by bringing together the entire industrial value chain. While some events focus on a specific technology, Global Industrie takes a holistic approach: it connects players in robotics, production, subcontracting, and industrial digitalization.

For several days, thousands of professionals gather to discuss major technological advances that are redefining production models. The event typically hosts more than 2,000 exhibitors and tens of thousands of visitors from across Europe.

In the exhibition halls, visitors can discover:

• Next-generation industrial robots and cobots
• Advanced automation systems
• Additive manufacturing solutions
• Predictive maintenance technologies
• Innovations related to industrial artificial intelligence
• Automated logistics platforms

This diversity makes it a true barometer of European industrial innovation.

Robotics does not replace
humans; it multiplies their
potential.

Robotics at the Heart of Industrial Transformation

For Robot Magazine readers, robotics remains one of the main points of interest at the show. The stands dedicated to robotics and automation are among the most dynamic of the event.

International companies such as ABB Robotics, KUKA, Fanuc, and Universal Robots regularly showcase their latest innovations here.

Visitors can observe robots in action:

• Assembling mechanical parts
• Handling electronic components
• Collaborating with human operators
• Automating production lines

These demonstrations provide a concrete understanding of how robotic technologies are now integrated across all industrial sectors: automotive, aerospace, electronics, logistics, and food production.

Collaborative robotics, in particular, is growing in importance. Cobots allow companies of all sizes, including SMEs, to automate certain tasks while maintaining close interaction with human operators.

Industry 4.0: The Convergence of Robots, Data, and AI

Beyond robotics, Global Industrie highlights the major trends of Industry 4.0.

Today, factories are no longer just automated; they are becoming connected, intelligent, and data-driven. Industrial sensors, vision systems, AI, and software platforms play an increasingly central role in process optimization.

The show offers a concrete glimpse into this technological convergence.

Visitors can discover:

• Predictive maintenance solutions based on data analysis
• Digital twins for simulating production lines
• Industrial control platforms integrating AI
• Autonomous logistics systems using mobile robots and AGVs

This digital transformation is now a strategic challenge for European industry, which faces competitiveness, energy transition, and technological sovereignty issues.

A Hub for Industry Stakeholders

Global Industrie is not just an exhibition. It is also a space for networking and sharing experiences.

Numerous conferences and roundtables address major current industrial issues:

• Industrial reshoring
• Energy transition
• SME automation
• Technical skills shortages
• AI’s impact on industrial professions

These discussions are valuable for decision-makers seeking to anticipate sector developments and identify technologies that can enhance organizational performance.

The event also welcomes deep-tech startups developing tomorrow’s industrial technologies, offering visitors the chance to discover promising innovations that are still little known.

A Must-Attend Event for Professionals

For engineers, industrial leaders, and tech entrepreneurs, Global Industrie offers a unique opportunity to take the pulse of industrial innovation.

In just a few days, attendees can:

• Observe the latest robotic advancements
• Meet suppliers and technology partners
• Network with industry leaders
• Identify new collaboration opportunities

In a context where automation, AI, and robotics are transforming industrial models, events like this play a key role in connecting ecosystem players.

Robot Magazine explores the
technologies shaping the industry
of tomorrow.

Robot Magazine at the Heart of the Event

In a context marked by accelerating automation, the rise of industrial AI, and technological sovereignty challenges, Robot Magazine will focus on advanced robotics, factory digitalization, and the transition to a more sustainable industry. Visitors will discover demonstrations of next-generation industrial robots, collaborative cobots, predictive maintenance solutions, and AI-based industrial control platforms.

Numerous conferences and roundtables will also bring together industrial leaders, researchers, and startups to explore deep transformations in the manufacturing sector. For professionals in robotics and automation, this 2026 edition is a unique opportunity to discover the technologies that will shape the factories of tomorrow and to meet key players in the European industrial ecosystem.

As a media partner of Global Industrie, Robot Magazine will cover the show’s standout innovations.

Our teams will meet with industrialists, startups, and experts to share with our readers:

• Interviews with executives and engineers
• Analyses of robotics trends
• Technology demonstrations
• Reports from the heart of the exhibition halls

Our goal is simple: to highlight the technologies shaping tomorrow’s industry and give a voice to the actors driving this transformation.

See You at Global Industrie

Whether you are an engineer, entrepreneur, integrator, or simply passionate about industrial technologies, Global Industrie offers a unique chance to discover innovations reshaping the industrial landscape.

Robotics, AI, and automation are no longer futuristic concepts; they are at the core of industrial strategies.

And this is exactly what you will be able to observe, understand, and experience at this unmissable European industrial event.

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Today, this model is evolving rapidly thanks to a concept that is gaining ground in the technology ecosystem: Robot as a Service (RaaS).

Inspired by the Software as a Service (SaaS) model that revolutionized the software industry, Robot as a Service allows companies to use robots without having to purchase them. Instead of investing in equipment, businesses pay a monthly subscription or a usage-based fee.

This model opens robotics to a much broader audience and accelerates the adoption of automation in sectors such as logistics, security, manufacturing, and agriculture.

With the rise of artificial intelligence, autonomous robots, and cloud computing, RaaS could become one of the dominant economic models in robotics in the coming decades.

Robots are no longer just expensive
industrial equipment for large
enterprises.

What Is Robot as a Service?

Robot as a Service (RaaS) is a business model in which robots are provided as a service rather than sold as a product.

In this system, the client company does not purchase the robot. It pays to use it.

The provider generally handles:

• The supply of the robot
• Installation and integration
• Maintenance
• Software updates
• Performance monitoring
• Sometimes even remote operation

The client then pays according to several possible models:

• Monthly subscription
• Pay-per-use
• Pay-per-task
• Pay-per-performance

For example, in a logistics warehouse, a company may pay based on the number of orders processed by robots. In the cleaning sector, some autonomous robots are billed per square meter cleaned.

This model transforms a heavy capital investment into an operational expense, making robotics easier to adopt.

A Rapidly Expanding Market

The Robot as a Service market is experiencing strong growth. Several market studies indicate that demand for this type of solution could increase significantly in the coming years.

According to various analyses:

• The market exceeded $1.5 billion in 2023
• It could reach more than $4 billion by 2028
• Some projections suggest over $20 billion by 2035

This growth is driven by several major trends:

• Declining sensor costs
• Advances in artificial intelligence
• The rise of cloud robotics
• Labor shortages in many sectors

Companies increasingly seek to automate repetitive tasks while avoiding heavy upfront investments. The RaaS model responds precisely to this need.

Sectors Where RaaS Is Growing Rapidly

Logistics and Warehousing

The logistics sector is currently one of the main drivers of Robot as a Service.

Autonomous Mobile Robots (AMRs) are used to:

• Transport goods
• Assist operators
• Optimize logistics flows
• Speed up order fulfillment

In some warehouses, these robots can increase productivity by 30 to 50 percent.

Security

Security robots are also offered as a service.

These robots can:

• Patrol autonomously
• Monitor sensitive areas
• Detect anomalies
• Send real-time alerts

They are used in parking facilities, university campuses, and industrial sites.

Industrial Cleaning

Autonomous cleaning robots are becoming more common in large facilities such as:

• Airports
• Shopping malls
• Hospitals
• Hotels

These robots can clean large areas autonomously while collecting environmental data.

Thanks to the RaaS model, companies can access these technologies without an initial investment.

Agriculture

Agricultural robots can be used for:

• Autonomous weeding
• Crop monitoring
• Soil analysis
• Certain harvesting operations

In this sector, pay-per-use is particularly well suited, as farmers can rent robots during specific periods of the year.

Logistics and warehousing use
Autonomous Mobile Robots (AMRs)
to increase productivity by 30 to 50 percent.

Startups Driving the RaaS Model

Many startups and technology companies are now developing solutions based on Robot as a Service.

Among the best-known players:

• Formic – subscription-based industrial robotics
• Locus Robotics – warehouse logistics robots
• Knightscope – autonomous security robots
• Hirebotics – industrial welding robots
• Cobalt Robotics – building surveillance robots

These companies no longer simply sell robots; they sell automation capacity.

Why Investors Are Interested in RaaS

The Robot as a Service model strongly attracts investors because it transforms an industrial sales model into recurring revenue.

Traditionally, robotics companies sold machines as industrial equipment, which involved:

• Long sales cycles
• Irregular revenue
• High dependence on customer capital investment

With RaaS, companies can generate:

• Monthly subscriptions
• Predictable revenue
• Long-term customer relationships

This model mirrors SaaS, which profoundly transformed the software industry.

The Challenges of Robot as a Service

Despite its potential, Robot as a Service also presents several challenges.

Robot Financing

In this model, the provider must finance the robots. This requires significant capital to deploy fleets of robots at customer sites.

Maintenance

Robots must be maintained regularly to ensure proper functioning, requiring technical teams and appropriate logistics.

Profitability

To be profitable, a robot must be used intensively. A poorly utilized robot can quickly become a cost burden for the provider.

The Future: Connected Robots and Artificial Intelligence

The future of Robot as a Service is closely linked to advances in artificial intelligence and cloud robotics.

Robots are becoming increasingly connected and capable of sharing data with cloud platforms.

This enables:

• Remote fleet management
• Continuous algorithm improvement
• Over-the-air software updates
• Performance optimization

In the coming years, robots could become true intelligent platforms connected to the cloud.

Robot as a Service represents one of the most significant evolutions in modern robotics. By transforming robots into subscription-based services, this model democratizes automation and accelerates the adoption of robotics across many sectors.

With the convergence of robotics, artificial intelligence, and cloud computing, robots are gradually becoming intelligent platforms capable of delivering automated services at scale.

In the near future, many companies may no longer purchase robots but simply subscribe to robotic capabilities.

Just as SaaS revolutionized software, Robot as a Service could become the dominant economic model of future robotics.

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The Rise of Intelligent Industrial Robotics

Since the 2010s, industrial automation has experienced exponential growth, with articulated robots capable of welding, assembling, or painting at high speed in controlled environments. However, these systems remain limited by their rigidity: any change to the production line often requires complete reengineering. Humanoid robots, in contrast, introduce unprecedented flexibility.

Equipped with advanced sensors, precise articulated arms, and 3D vision systems, these robots can perform complex tasks in semi-structured environments. Giants like Toyota, Siemens, ABB, and Fanuc are now investing in hybrid solutions that combine traditional industrial robots with collaborative humanoids. This approach allows for the automation of operations previously reserved for skilled human operators, while retaining the ability to respond to unexpected variations.

Artificial intelligence plays a central role in this transformation. Humanoid robots can learn work sequences, detect anomalies in real-time, and adjust their actions to maximize efficiency. AI algorithms also enable continuous optimization of production lines by analyzing millions of data points to reduce downtime and improve product quality.

Humanoid robots are no
longer just experimental
tools.

Humanoids and Logistics: A Revolution Underway

Beyond production lines, logistics is one of the sectors where humanoid robots demonstrate their potential. In warehouses and distribution centers, robots like Agility Robotics’ Digit or Tesla Robotics prototypes can transport packages, sort goods, and collaborate with human workers. Their ability to handle objects of various sizes and shapes, navigate narrow aisles, and adapt to dynamic conditions reduces the need to reorganize existing infrastructures.

Integrating humanoid robots in logistics also enables real-time data collection. They can monitor inventory, detect packaging anomalies, and contribute to full product traceability. For e-commerce and retail giants, this combination of autonomy, precision, and data collection is a major strategic factor to meet growing demand and increasingly tight delivery timelines.

Massive Investments for Strategic Returns

Industrial giants are not just deploying humanoid robots they are investing billions in research and development to perfect these technologies. According to recent McKinsey & Company data, global investments in advanced robotics and AI for industry are expected to exceed $30 billion by 2026. These investments cover hardware, software, and human operator training to work effectively with these robots.

These investments are driven by several factors:

• Skilled labor shortage: In many sectors, recruiting experienced operators has become a major challenge. Humanoid robots help compensate for this deficit and secure production.

• Operational flexibility: Unlike traditional robots, humanoids can be quickly reprogrammed for new tasks or products, reducing reengineering costs.

• Competitiveness and innovation: Companies that effectively integrate humanoid robots gain speed, precision, and reliability, creating a strategic advantage over competitors.

Humanoids and Industrial Maintenance: A Winning Duo

Predictive and assisted maintenance using humanoid robots is another area where industrial giants are betting big. In complex factories, humanoids can inspect machines, detect anomalies, perform simple repairs, and collaborate with human technicians on more complex interventions.

With advanced sensors and onboard AI systems, robots can identify abnormal vibrations, overheating, or deformations—often before these issues cause production downtime. This reduces costs associated with breakdowns and enhances worker safety. Some companies are also experimenting with humanoids capable of handling specialized tools or assembling delicate components—tasks previously requiring significant human expertise.

Ethical and Regulatory Challenges

The widespread adoption of humanoid robots raises significant ethical and legal questions. Responsibility in the event of an incident, protection of data collected by robots, and impacts on human employment are central to the debate.

Governments and international organizations are beginning to establish regulatory frameworks. The European Union has launched initiatives to regulate collaborative and humanoid robots, while in the U.S. and Asia, sector-specific guidelines are emerging to ensure safety, compliance, and data protection. Companies must not only comply with these standards but also build trust among employees and customers to ensure sustainable adoption.

Predictive maintenance and assisted
interventions become safer and
more efficient.

Toward Human-Machine Collaboration

The success of humanoid robots in industry depends not only on technology but also on human acceptance. Industry giants emphasize ergonomic design, intuitive interaction, and transparency in robot actions. Specific training programs and collaboration protocols are implemented to ensure smooth integration into mixed teams.

This human-machine collaboration paves the way for a new work organization, where robots handle repetitive or hazardous tasks, and humans focus on supervision, decision-making, and solving complex problems. The benefits are twofold: increased safety and optimized productivity.

In 2026, industrial giants are heavily investing in humanoid robots to address major strategic challenges: flexibility, competitiveness, safety, and innovation. This transition marks a decisive step in the history of industrial robotics, where the boundary between humans and machines is becoming increasingly collaborative.

While widespread adoption of humanoid robots remains a technological, economic, and social challenge, current trends suggest a future where factories, warehouses, and maintenance centers may operate through effective symbiosis between human operators and humanoid robots. Companies that anticipate this revolution will gain a major competitive advantage, while humanoid robots will evolve from technological curiosities into indispensable strategic partners.

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These three building blocks redefine what a robot can understand, perceive, and execute in the real world. They mark the shift from programmed, rigid robotics to cognitive robotics, capable of operating in uncertain environments. For industry, this represents a major structural change.

Embodied AI: Where Intelligence Meets Physics

For a long time, artificial intelligence remained separate from the physical world. AI models excelled in data analysis, image recognition, or language processing, but they did not interact directly with matter.

Embodied AI changes this equation. It refers to systems where intelligence is integrated into a physical body capable of acting, experimenting, and learning through interaction. The robot no longer merely executes instructions; it adapts its actions based on sensory feedback.

Platforms like those developed by NVIDIA, with their advanced simulation environments, or the integrated robotic architectures offered by Tesla and Boston Dynamics, illustrate this evolution. AI is no longer an external module: it is embedded, connected to sensors, motors, and actuators.

This embodiment enables learning through real or simulated interaction. The robot can test strategies, correct its mistakes, and optimize its trajectories. Intelligence becomes dynamic, contextual, and adaptive.

3D Vision: Understanding Space Rather Than Mapping It

Traditional robotic vision relied on controlled environments: floor markings, standardized parts, calibrated lighting. Systems were effective but poorly tolerant of variation.

Next-generation 3D vision disrupts this approach. Thanks to stereoscopic cameras, depth sensors, miniaturized LiDARs, and spatial reconstruction algorithms, robots can now interpret complex environments in real time.

They no longer just recognize a part; they evaluate its exact position, orientation, dimensions, and interaction with other objects. This capability is crucial for:

• Automated logistics

• Flexible assembly

• Handling non-standard objects

• Safe human interaction

3D vision allows robots to move from a predefined world to a partially unpredictable one. It reduces reliance on rigid infrastructure and paves the way for more flexible automation.

Intelligence is no longer external
to the robot: it is integrated, sensory,
and adaptive.

Fine Manipulation: The Most Complex Frontier

While locomotion has long been seen as the main robotic challenge, fine manipulation is actually one of the hardest obstacles to overcome.

Grasping a fragile object, screwing a component, handling a cable, or adjusting a flexible part requires subtle coordination between perception, computation, and motor control. Human hands have thousands of biological sensors and unmatched dexterity.

New generations of robots integrate high-precision force sensors, multi-jointed grippers, and algorithms capable of adjusting pressure in real time. Manipulation no longer relies solely on a predefined trajectory but on continuous adaptation.

This technological breakthrough makes it possible to automate tasks previously reserved for skilled operators: delicate assembly, complex sorting, light maintenance, and preparing varied orders.

The Convergence of the Three Breakthroughs

It is the combination of embodied AI, 3D vision, and fine manipulation that creates the true breakthrough. Individually, each represents an advancement. Together, they transform the very nature of the robot.

A robot with 3D vision but no adaptive intelligence remains limited. A powerful AI without reliable perception is blind. A skilled hand without contextual understanding lacks relevance. The convergence of these building blocks creates systems capable of:

• Perceiving an unstructured environment

• Choosing an appropriate strategy

• Executing precise actions while accounting for sensory feedback

This synergy forms the core of next-generation robotics.

Impact on the Factory of the Future

In industrial contexts, these breakthroughs allow us to move beyond rigid, ultra-specialized lines. Robots become capable of handling shorter runs, customized products, and variable flows.

The factory evolves toward a modular and adaptive model. Intelligent robots can be reconfigured more quickly, learn new tasks through demonstration, and cooperate with human operators.

This flexibility directly addresses contemporary challenges: market volatility, skill shortages, higher quality demands, and cost pressures.

Still Structuring Limits

Despite these advances, several challenges remain. System robustness in highly disrupted environments still needs consolidation. Learning in real conditions requires strict safeguards to avoid unforeseen behaviors.

Cybersecurity is also a major concern: a connected, intelligent robot represents a potential attack surface. Certification of systems integrating adaptive AI raises complex regulatory questions.

Technological breakthroughs do not mean immediate maturity. They indicate an irreversible trajectory.

A Structured Global Competition

The United States, Europe, and Asia are investing heavily in these technologies. Advanced simulation platforms, specialized processors for embedded AI, and cloud infrastructures dedicated to robotics accelerate development.

The race is no longer only about raw performance but about the ability to industrialize these innovations at scale. Success will depend as much on software mastery as on production capability.

AI, perception, and manipulation:
alone, they advance; together, they
revolutionize robotics.

Toward Widespread Cognitive Robotics

Embodied AI, 3D vision, and fine manipulation are not merely incremental evolutions. They mark the shift toward cognitive robotics, capable of operating in dynamic environments.

This transformation does not mean robots will become autonomous in the human sense. It means they will be able to perform varied tasks with minimal but sufficient contextual understanding to act effectively.

Industry, logistics, healthcare, and services will be gradually impacted.

The True Breakthroughs Are Invisible

The most decisive advances in robotics are not always visually spectacular. They lie in invisible technological layers: learning algorithms, high-precision sensors, real-time control architectures.

Embodied AI gives robots adaptive capacity. 3D vision provides fine spatial understanding. Precise manipulation allows credible interaction with matter.

Together, these breakthroughs redefine the realm of possibility. They do not promise total automation but smarter, more flexible, and more integrated automation.

Robotics is entering a new phase: one where performance is measured not only in speed or strength, but in the ability to understand and act in the real world.

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French deeptech company Eclore Actuators announces a €3 million Seed funding round to accelerate its industrial and commercial development. Specializing in polymer-based protection and actuation solutions for industrial robotics, defense, and space applications, the company now aims to strengthen its international presence, with a strategic focus on the Japanese premium robotics market, particularly SCARA robots.

This round brings together leading public and private investors, including Bpifrance, UI Investissement, Sodero, Pays de la Loire Participations, as well as specialized business angels.

A Differentiating Technology: Polymer Folding Applied to Robotics

Founded in 2019, Eclore Actuators relies on patented expertise in polymer folding. This know-how enables the design of components that are:

• Lighter

• More compact

• More durable

• PFAS-free

• Suitable for harsh industrial environments

In industrial robotics, especially SCARA robots (widely used in electronic assembly), constraints are multiple: dust, splashes, high-pressure washing, repeated mechanical stress, FDA-compliant environments, or ISO 3 cleanrooms.

Eclore Actuators’ solutions enable:

• More than 5× longer lifespan for protective components

• Significant reduction in machine downtime

• ROI in approximately 4 months

• Improved overall reliability of robotic cells

Beyond passive protections, the company also develops active components such as actuators, ejectors, and polymer grippers.

Already Compatible with Global Robotics Leaders

Eclore Actuators’ kits are today compatible with 19 models from the main global manufacturers, including:

• Fanuc

• Epson

• KUKA

• ABB

• Yaskawa

• Omron

• Yamaha

This compatibility facilitates both retrofit projects and new integrations, allowing industrial customers to enhance the performance and durability of their existing robots without modifying their core architecture.

Simultaneously, the company also addresses defense and space markets, where weight reduction, resistance to extreme environments, and reliability are strategic priorities.

A New Factory in Nantes to Industrialize at Scale

As part of its growth, Eclore Actuators has moved into a new factory in Nantes.

Objectives:

• Structure the industrial setup

• Increase production capacity

• Ensure quality control

• Accelerate R&D on passive and active polymer components

A key differentiator: the company designs and assembles its own production and R&D machines in-house. This vertical integration, combined with its patented process, strengthens its competitive advantage in high-value technical components.

Japan: A Strategic Market for Premium Robotics

Eclore Actuators has also opened a local office in Japan, considered a priority market.

Why Japan?

• High concentration of industrial robot manufacturers

• High demands for reliability and performance

• Global leadership in SCARA robots and assembly applications

Following its participation in IREX 2025 in Tokyo one of the world’s largest robotics trade shows the company has engaged in discussions with several major players for industrial and commercial partnerships.

Establishing itself in the Japanese market is a strong signal of technological credibility for a European industrial deeptech company.

A Clear Ambition: Become a Reference Player in Polymer Components for Robotics

For Pierre Gautier-Le Boulch, founder and CEO of Eclore Actuators, this funding round marks a structuring milestone. The ambition is to become a reference player in high-performance polymer components for:

• Industrial robotics

• Next-generation robotic systems

• Defense

• Space

In a context of reindustrialization, reduced machine downtime, and optimization of total cost of ownership (TCO), peripheral components become a strategic lever for performance.

Why This Funding Is Strategic for the European Robotics Ecosystem

Beyond financing, this operation illustrates several key trends:

• The rise of French industrial deeptech companies

• The growing importance of critical components in the robotics value chain

• The need for a fast international strategy to remain competitive against Asian and American players

By focusing on material innovation, industrial mastery, and international expansion, Eclore Actuators positions itself as an industrial scale-up.

FAQ – Eclore Actuators and Its Solutions for Industrial Robotics

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In 2026, the answer is neither a triumphant yes nor a categorical no. It lies in an intermediate zone, where technological progress, economic constraints, and operational realities gradually reshape the role of these machines in the workplace.

Why the Question Arises Today

Until recently, humanoid robots were primarily research projects or technology showcases. Their cost, complexity, and lack of reliability confined them to laboratories or demonstration setups.

What has changed is not just robotics itself, but the convergence of several breakthroughs: rapid progress in artificial intelligence, lower sensor costs, better batteries, increased onboard computing power, and growing pressure on the labor market.

Labor shortages, an aging population, heightened safety requirements: in this context, certain human tasks are becoming hard to fill or too costly in the long run. Humanoid robots appear as a potential solution not to replace humans entirely, but to take over targeted functions.

Humanoid robots don’t
replace humans they
reshape work.

What Humanoid Robots Can Actually Do Today

Modern humanoid robots have crossed several major technical thresholds. They can walk stably, manipulate simple objects, perceive their environment, and perform relatively complex task sequences.

Players like Tesla with Optimus, Boston Dynamics, and several Asian manufacturers have demonstrated credible capabilities in semi-structured environments.

Concretely, humanoids today are capable of:

• Carrying light to medium loads

• Performing repetitive manipulations

• Moving through spaces designed for humans

• Interacting safely with operators

• Following simple procedures with a degree of autonomy

However, they remain limited whenever tasks require fine dexterity, deep contextual understanding, or creative adaptation.

Which Human Tasks Are Actually Concerned

The question is not whether humanoid robots can replace “humans,” but which specific tasks they can perform reliably, cost-effectively, and safely.

The first credible use cases involve tasks with low cognitive value but high physical or organizational constraints:

• Light and repetitive handling

• Internal logistics in factories or warehouses

• Industrial site inspection

• Monitoring sensitive areas

• Assistance in hazardous or constrained environments

In these contexts, humanoid robots are not chosen for their intelligence, but for compatibility with existing human environments without major infrastructure modifications.

Humanoids as a Complement, Not a Replacement

Contrary to common fears, humanoid robots do not replace entire professions. They replace task segments often the most tedious, repetitive, or unattractive.

In industry, they complement:

• Traditional industrial robots, which are too rigid

• Cobots, sometimes limited in mobility

• Human operators, facing fatigue or physical risks

This hybrid model increases the overall capacity of the production system without eliminating human value. The operator becomes a supervisor, coordinator, or expert, rather than a mere executor.

Real Technical Barriers

Despite progress, humanoid robots still face significant limits. Energy autonomy is restricted, maintenance is complex, and long-term reliability is not yet proven at scale.

Safety remains a central concern. Due to their size and power, humanoid robots pose specific risks in case of malfunction. Certification, regulatory compliance, and team acceptance are still open challenges.

Finally, onboard AI, though capable, remains fragile in unforeseen situations. Robots excel in defined frameworks but still struggle to handle the ambiguity of the real world with human-like flexibility.

The future of work will not
be robotic or human it will
be hybrid.

More of an Economic Challenge Than a Technological One

The maturity of humanoid robots depends as much on economics as on technology. To replace a human task, a robot must be:

• Cost-effective over its entire life cycle

• Easy to deploy and maintain

• Versatile enough to justify its cost

• Socially and legally acceptable

Today, only very specific environments meet these conditions. But the trajectory is clear: as costs fall and reliability increases, the range of replaceable tasks will expand.

A Gradual Transformation of Work

The arrival of humanoid robots reveals a profound transformation of the concept of work. The debate is no longer only about employment, but about the allocation of roles between humans and machines.

Robots handle standardized physical execution. Humans retain supervision, decision-making, creativity, and accountability. This complementarity requires evolving skills, training, and organizational structures.

The challenge is therefore not only technological, but also social and managerial.

Ready to Replace Tasks, Not Humans

Humanoid robots are not ready to replace humans entirely. However, they are already capable of taking over specific human tasks, in targeted environments and under strict conditions.

This gradual shift marks a new stage in industrial automation. It is no longer about isolated machines, but intelligent physical agents integrated into complex production systems.

The real question for industry is therefore not whether humanoid robots will replace humans, but how to integrate them intelligently to enhance performance, safety, and organizational resilience.

The future of work will be neither entirely human nor entirely robotic. It will be hybrid, adaptive, and profoundly transformed by these new forms of human-machine collaboration.

FAQ – Humanoid robots and the replacement of human tasks

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In recent years, this separation has begun to fade. By 2026, the convergence of robots and artificial intelligence is no longer limited to demonstrators or pilot projects; it is fundamentally redefining the very nature of the factory. This convergence signals a structural transformation of the industrial model, far beyond traditional automation.

From Rigid Automation to Contextual Autonomy

Traditional factories operated on a simple principle: production lines optimized for a specific product, with robots programmed for repetitive, predictable tasks. This model has reached its limits in the face of rising customization, market volatility, and labor pressures.

The integration of AI radically changes the game. Robots no longer just follow fixed trajectories; they begin to perceive, interpret, and adapt to their environment.

Cameras, force sensors, 3D vision, real-time analytics AI enables robots to handle part variations, logistical uncertainties, human interactions, or changes in production speed. The factory becomes less rigid, more responsive, and more tolerant of the unexpected.

The convergence of robots
and artificial intelligence does
not just modernize the factory
it redefines its very nature.

Emergence of the Robot as an Industrial Agent

A strong signal of the factory of the future is the changing status of the robot. It is no longer just an automated tool machine but an industrial agent with a degree of decision-making autonomy.

In practice, this means that a robot can:

• Adjust its actions based on context

• Detect anomalies or quality deviations

• Halt a process if it identifies a risk

• Cooperate with other robots or human operators

This evolution relies on specialized AI models capable of operating in constrained environments with high safety and reliability requirements. The intelligence is not general but targeted toward specific industrial applications.

A Factory Driven by Real-Time Data

The convergence of robots and AI also reveals a profound shift in industrial management. The factory of the future is not just automated; it is data-native.

Every robot becomes a data collection point: movements, forces, cycle times, quality, incidents, energy consumption. Continuously analyzed by AI systems, this data drives:

• Production flow optimization

• Predictive maintenance

• Energy management

• Continuous process improvement

The factory stops being a collection of isolated machines and becomes a living system capable of learning from its own operation.

From Programming to Industrial Reasoning

AI also changes how robots are designed and deployed. Whereas traditional programming required detailed, fixed instructions, modern approaches favor:

• Learning by demonstration

• Goal-oriented configuration

• Dynamic adaptation to constraints

Engineers no longer dictate every move but define frameworks, rules, and priorities. The robot then selects the best possible action within that framework. This approach reduces commissioning times and opens automation to tasks previously considered too complex or variable.

Human-Robot Collaboration as an Industrial Norm

The factory of the future, revealed by robot–AI convergence, is not human-free. On the contrary, it relies on structured collaboration between operators and intelligent machines.

Robots handle arduous, repetitive, or dangerous tasks, while humans focus on:

• Supervision

• Problem-solving

• Quality control

• Process improvement

• Strategic decision-making

AI plays a key role in securing interactions, anticipating behaviors, and adapting robots to human presence. The line between automation and collaboration becomes fluid.

Flexibility, Resilience, and Reshoring

The combination of robotics and AI also reflects a geopolitical transformation of industry. Factories of the future are designed to be more flexible and resilient.

Capable of quickly switching production, adapting to fluctuating volumes, and reducing dependence on scarce labor, they facilitate:

• Partial reshoring of certain production lines

• Securing supply chains

• Reducing industrial risks

Intelligent automation no longer focuses solely on productivity but on operational continuity in an unstable world.

Persistent Technological and Human Challenges

This vision of the factory of the future does not obscure the major challenges that remain. Robot–AI convergence raises complex issues:

• Industrial system cybersecurity

• Algorithm reliability in critical situations

• Accountability in case of incidents

• Social acceptance and job transformation

• Upskilling teams

AI introduces an element of non-determinism into environments historically designed for complete control. This requires new approaches to validation, certification, and industrial governance.

Industrial intelligence is not
general; it is specialized, constrained,
and purpose-driven.

A Gradual but Irreversible Transformation

Contrary to futuristic rhetoric, the factory of the future will not appear overnight. It is built in successive layers: smarter robots, more interconnected systems, better data-informed decisions.

But the direction is clear. The convergence of robots and AI does more than improve the existing system; it changes the very nature of the industrial system. Factory becomes adaptive, learning, and capable of absorbing uncertainty.

The Factory of the Future as a Collective Intelligent System

What robot–AI convergence reveals is not a fully automated or dehumanized factory, but a collective intelligent system in which machines, software, and humans cooperate in real time.

In this model, value is no longer measured solely by speed or production volume but by the ability to adapt, anticipate, and make responsible decisions.

The factory of the future will not be defined by the number of robots installed but by the quality of the intelligence orchestrating the system. On this front, the convergence of robotics and AI marks a major industrial turning point, whose effects are only beginning to be felt.

FAQ – Robotics and AI: What the Factory of the Future Really Looks Like

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