As humanoid robotics attracts increasing attention worldwide, a growing number of startups are exploring new real-world applications for these machines. While many companies aim to build general-purpose humanoids capable of performing multiple tasks, TeknTrash Robotics is taking a different approach.

The company focuses on a very specific mission: automating waste handling through humanoid robots.

Robot Magazine spoke with Al Costa, entrepreneur and robotics advocate, about the company’s vision, the evolution of humanoid systems, and why specialization could be the key to making robots truly useful in everyday environments.

Introducing TeknTrash

Robot Magazine: To start, could you briefly explain what TeknTrash does, the problem your company addresses, and the vision that drives your work in robotics and automation?

Al Costa:
TeknTrash was created based on a simple observation: waste handling  both in industrial environments and in homes  is dangerous, unsanitary and unhealthy. It is a task that ideally humans should not have to perform.

To solve this problem, we developed ALPHA, the Automated Litter Processing Humanoid Assistant. ALPHA is a humanoid robot specifically designed to handle waste in many environments.

Our vision differs from many robotics companies currently developing humanoids. The idea of creating general-purpose humanoids capable of performing any task is, in my opinion, unrealistic.

When a company hires someone, it does not expect that person to code software, manage finances, serve coffee and answer customer calls simultaneously. Each job requires a different set of skills.

Biology teaches us the same lesson: specialization matters. Muscles designed for strength cannot perform precision tasks efficiently, and precision muscles cannot deliver high force.

For that reason, TeknTrash focuses entirely on waste handling. This specialization is the foundation of our strategy.

“Robotics should follow the same logic as human work: specialization creates efficiency.”
Al Costa, CEO of TeknTrash Robotics

Humanoid robotics and real-world applications

Robot Magazine: Humanoid robots are attracting strong attention across the robotics industry. How do you see these systems evolving from experimental platforms into real-world solutions?

Al Costa:
My background combines biology and computer engineering, which allows me to approach robotics from both scientific and technological perspectives.

Two years ago, I suggested to an investor that robots could be used during concerts as part of the entertainment experience. At the time, he dismissed the idea, arguing that robots would “sell themselves”.

But recently we saw a major pop concert in China where four humanoid robots danced alongside the singer. The audience loved it.

This example illustrates a broader point: China is currently far ahead in experimenting with real-world uses of robotics. If Western companies want to remain competitive, we need to closely observe what is happening there.

At TeknTrash we opened an office in Suzhou, and I may personally relocate to China in the future.

“China is moving extremely fast in robotics
adoption. Watching what happens there is essential.”
Al Costa

Systems thinking in robotics

Robot Magazine: Modern robotics increasingly relies on integrated systems combining AI, sensors and connectivity. How does TeknTrash approach this challenge?

Al Costa:
One of the biggest limitations for robotics today is computing power.

Human brains are made of carbon atoms. Carbon has the same four chemical bonds as silicon which is used in computer chips but carbon atoms are much smaller. This allows biological brains to pack incredible computing capacity into a very small space.

As a result, the human brain still far surpasses any computer we can currently build.

At the same time, semiconductor manufacturing is approaching atomic limits. Chips cannot keep shrinking indefinitely.

Because of this, robotics will increasingly rely on cloud computing.

Many advanced robotic functions will not run directly on the robot itself but on remote servers performing heavy computations.

This means robots must be connected continuously to powerful computing infrastructure.

TeknTrash is part of the One6G Association, exploring future connectivity technologies. Our architecture has also been recognized by Google Cloud as an example of cloud-based robotics.

“The future of robotics will rely heavily
on cloud intelligence rather than onboard
computing.”

Automation, intelligence and the future of work

Robot Magazine: Beyond productivity gains, how will intelligent automation reshape industries and society?

Al Costa:
Recently a well-known billionaire suggested that robots could eliminate the need for human work within five years.

That reminded me of the film WALL-E, where robots perform every task for humans and society becomes completely dependent on machines.

While that scenario may sound extreme, technological progress is clearly accelerating.

The futurist Ray Kurzweil described this phenomenon with the concept of the technological singularity  a point where technological evolution becomes so rapid that predicting the future becomes extremely difficult.

Whether or not we reach that point soon, intelligent automation will undoubtedly transform many industries in the coming decades.

Leadership and the future of robotics

Robot Magazine: What mindset shift is required to accelerate the adoption of humanoid robots?

Al Costa:
Technological pessimism has always existed.

When the telephone was invented, many people believed it was unnecessary because the telegraph already worked perfectly.

Innovation often faces resistance because people cannot imagine how new technologies will change everyday life.

Henry Ford famously said that if he had asked customers what they wanted, they would have answered: “a faster horse”.

Today many societies face labor shortages due to demographic changes. In Japan, for example, more adult diapers are sold than baby diapers.

This shows that robots will increasingly be needed to supplement human labor.

Our responsibility as technologists is to develop tools that improve society, even when people initially struggle to imagine their value.

About Al Costa

Al Costa is CEO of TeknTrash Robotics, a company focused on developing humanoid robots dedicated to waste handling in industrial and residential environments.

A serial entrepreneur, he has founded companies in the United States, the United Kingdom, Spain, China and Brazil. His first startup was acquired by a company listed on NASDAQ.

He is also the author of five books, including a science-fiction novel, and previously taught Big Data and Machine Learning at a university in Spain.

Having grown up in several countries as the son of a diplomat, he is also the founder of an NGO dedicated to protecting children in war zones.

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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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Unlike pure software, robotics does not develop solely in a garage or behind a screen. It requires a rare convergence of skills: mechanics, electronics, artificial intelligence, industrial production, and field validation. And in this precise area, Zurich has major structural advantages.

Robotics Does Not Follow Software Rules

Most robotics startups do not fail because their idea is bad. They often fail because they are located in the wrong ecosystem.

Creating a robot is not just about writing code. It requires:

• Integrating hardware and software end-to-end

• Physically testing prototypes

• Accessing pilot factories

• Enduring long R&D cycles

• Raising patient capital

These constraints are exactly what differentiate robotics from a typical SaaS startup. And this is where Zurich makes a difference.

ETH Zurich: A Deep-Tech Talent Factory

At the heart of the ecosystem is ETH Zurich, consistently ranked among the world’s top technical universities.

Each year, ETH feeds the local ecosystem with engineers specialized in:

• Advanced robotics

• Mechatronics

• Artificial intelligence

• Computer vision

• Embedded systems

Beyond the degree, it is the “engineering-first” culture that makes the difference. Professionals from Zurich know how to design, prototype, and industrialize.

Influential research centers, such as Disney Research and the RAI Institute, also orbit ETH, maintaining a constant flow of innovation and scientific publications.

In robotics, geography does not
just determine opportunity; it
determines the speed of innovation.

Industrial Validation: A Key Advantage

Switzerland, and particularly the Zurich region, benefits from a strong industrial base: automation, microtechnology, machine tools, medical devices.

For a robotics startup, this means:

• Rapid access to industrial partners

• Opportunities to test prototypes in real conditions

• Early B2B clients ready to experiment

Robotics cannot remain confined to a lab. It must face real-world constraints: dust, vibrations, deadlines, maintenance. Zurich offers this critical proximity between research and industry.

Patient Capital for Long Cycles

Another decisive factor is financing.

Robotics does not progress in a straight line. Cycles are longer, pivots are costlier, hardware iterations more complex. The Swiss ecosystem has historically been structured around deep-tech and hardware, with:

• Specialized investors

• Public funds

• Grant programs adapted to industrial risks

Unlike ecosystems focused on rapid growth and accelerated exits, Zurich accepts the timescale inherent to robotics.

An Impressive Concentration of Robotics Startups

The region already hosts a remarkable density of players, including:

• ANYbotics

• Gravis Robotics

• Verity

• Voliro

• Sevensense

• Wingtra

• Auterion

• Embotech

• Ascento

Additionally, student initiatives like ETH Robotics Club actively contribute to the local entrepreneurial culture.

This concentration creates a network effect: mobile talent, shared know-how, specialized subcontractors, investors familiar with hardware.

What’s Still Missing: A More Collaborative Startup Culture

While Zurich checks nearly all the boxes talent, research, industry, capital one point remains to be perfected: a supportive culture among founders.

In San Francisco, entrepreneurs easily share mistakes, suppliers, and investors. This “shared context” accelerates collective learning.

Zurich has undeniable technical excellence. The challenge now is to intensify community dynamics among founders to create a true Silicon Valley-style deep-tech effect.

Some initiatives are already emerging, notably in the Schlieren district, where several startups and incubators cluster to promote informal exchanges and collaborative work.

ETH Zurich fuels the ecosystem
with deep-tech talent trained in
robotics, mechatronics, and artificial
intelligence.

Why Zurich is Becoming Strategic for Europe

For European entrepreneurs, Zurich now represents a credible alternative to the United States and Asia.

In a context where:

• Industrial robotics is accelerating

• AI is integrating with hardware

• Technological sovereignty is becoming a major issue

Switzerland offers a neutral, stable, and highly skilled ground.

For the European robotics industry, being present in Zurich is no longer just an academic opportunity; it is a strategic choice for location.

A Broader Lesson for the Robotics Ecosystem

The message is clear: in robotics, geography matters.

A poor ecosystem slows innovation. A good ecosystem accelerates it.

Zurich demonstrates that a deep-tech hub is not built solely around venture capital but around a subtle balance of:

• Scientific excellence

• Industrial anchoring

• Appropriate financing

• Entrepreneurial community

For founders building robots not just apps the question may no longer be “where to raise funds?” but “where to build sustainably?”

And in this precise regard, Zurich is emerging as one of the strategic nodes of global robotics.

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Operated by the National Research Agency (ANR), the program falls under the national strategy “Robotics and Intelligent Machines.” The goal is clear: strengthen French technological sovereignty, structure the ecosystem, and accelerate the transfer of fundamental research into concrete industrial applications.

Why is this robotics program strategic for France?

Robotics is now at the heart of major industrial, energy, and societal transitions. Yet, several challenges remain:

• Navigation in complex environments
• Precise manipulation of diverse objects
• Robust perception in dynamic environments
• Energy autonomy
• Smooth AI integration

The new CNRS program aims to develop hardware and software technological building blocks capable of:

• Improving locomotion and control
• Enhancing perception and adaptability
• Optimizing physical manipulation
• Reducing energy consumption
• Increasing decision-making autonomy

Underlying all this is a major goal: designing robots that are more reliable, adaptable, and efficient, in line with France 2030’s decarbonization objectives, which dedicate 50% of investments to ecological transition.

Four Structuring Projects to Unlock Scientific Barriers

The program is organized around four major projects, each targeting a strategic technological challenge.

HAMMER: Autonomous Locomotion in Complex Environments

HAMMER aims to transform navigation capabilities of ground and aerial robots.

By combining:

• Advanced mathematical models
• Optimal control
• Learning based on large datasets

researchers aim to enable robots to move reliably in open, unstable, or poorly structured environments.

Targeted applications:

• Exploration of natural environments
• Offshore maintenance
• Operations in isolated or hazardous areas
• Inspection of critical infrastructure

The challenge is twofold: technical performance and reducing human exposure to risks.

DRMI: Next-Generation Industrial Robotic Manipulation

The DRMI project tackles the core of industrial robotics: physical manipulation.

Objective: develop robots capable of interacting with their environment with greater precision, flexibility, and reliability.

Relevant areas:

• Assembly and disassembly
• Automated sorting
• Recycling
• Industrial waste dismantling

In the context of a circular economy and reindustrialization, these advances could strengthen French industrial competitiveness.

PERSEO: Multi-Robot Perception and Cooperation

PERSEO focuses on perception, localization, and mapping in evolving environments.

A key axis: cooperation between ground, aerial, and mobile robots capable of sharing and merging their data.

Potential applications:

• Monitoring natural ecosystems
• Intelligent energy management
• Disaster detection and mitigation
• Autonomous transport

Data sharing between robots opens the way to more robust and intelligent distributed systems.

MINIRO: Micrometer-Scale Miniature Robotics

With MINIRO, research moves to the micrometer scale.

Between a few tens of micrometers and a few centimeters, physical laws change. Actuation and perception systems must be rethought.

Major prospects:

• Minimally invasive medical devices
• Robotic endoscopy
• Industrial inspection in constrained environments
• High-precision micro-manipulation

Miniature robotics could become a strategic lever in biomedicine and advanced inspection technologies.

Strategic Integration of Artificial Intelligence

A fifth transversal project is in preparation: “AI-Core-Robotics.”

Its ambition: deeply integrate AI into robotic architectures.

The rise of foundation models and generative AI opens the way for robots capable of:

• Interpreting natural language instructions
• Understanding their contextual environment
• Continuous learning
• Combining sensory and motor data to execute complex tasks

This represents a paradigm shift: moving from programmed robots to robots capable of adaptive reasoning.

This project will mobilize interdisciplinary convergence between:

• Computer science
• Mechatronics
• Micro-nanotechnologies
• Signal processing
• Materials science
• Human-machine interaction

Training Talent and Structuring the Robotics Ecosystem

Beyond technological advances, the program carries a human and strategic ambition.

Four challenges structure this vision:

• Develop technological building blocks transferable to industry
• Strengthen links between national and European actors
• Train young people in hybrid robotics–AI professions
• Attract new talent to the sector

In a context of increased competition with the United States and Asia, France must consolidate its scientific and industrial attractiveness.

France 2030: An Unprecedented Investment Framework

The France 2030 plan represents €54 billion in investments to sustainably transform strategic sectors:

• Health
• Energy
• Automotive
• Aerospace
• Space
• Industry

Robotics occupies a central place, at the intersection of:

• Ecological transition
• Industrial sovereignty
• Intelligent automation
• Reindustrialization

Program management is overseen by the General Secretariat for Investment, with support from ANR, ADEME, Bpifrance, and Banque des Territoires.

What This Means for the French Robotics Industry

With this program, CNRS is not just funding academic projects. It:

• Structures an ecosystem
• Aligns research and industry
• Prepares the next generation of intelligent robotic systems
• Strengthens France’s position in global competition

In a context marked by the rise of AI, industrial robotics growth, and international competition, France demonstrates a clear ambition: not to undergo the robotic revolution, but to help drive it.

For the French robotics sector, 2026 could mark the beginning of a new strategic cycle a cycle where technological performance, energy efficiency, and artificial intelligence converge toward more autonomous, sustainable, and competitive robotics.

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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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So, should we see these robots as a technologically alluring trend doomed to fade, or are we witnessing the emergence of a new industrial revolution, driven by AI, advanced robotics, and a global labor shortage?

Robot Magazine investigated this trend by analyzing recent advances, persistent limitations, and the industrial stakes that will determine the future of humanoids.

Why focus on humanoids now?

Five years ago, the question barely arose. Humanoids lacked:

• Energy autonomy

• Precision in manipulation

• Onboard computing power

• Stability in locomotion

• The ability to interpret the real world

But several developments have converged over the past three years:

1. The arrival of multimodal models capable of reasoning and manipulating
   Companies like OpenAI, Figure AI, and Tesla have introduced AI systems combining vision, language, planning, and action. These AI systems can explain why they perform a task, propose solutions, or adjust movements based on context.

2. The dramatic drop in computing costs
   NVIDIA platforms (Jetson, Orin, and now Blackwell) have lowered AI inference costs, enabling complex models to run on mobile robots.

3. Massive simulation
   Digital twins (Omniverse, Isaac Sim, Mujoco, Unreal Engine) allow humanoids to be trained in millions of virtual scenarios before entering the real world.

4. A structural labor shortage
   Logistics, healthcare, agriculture, hospitality, recycling industries are looking for solutions to difficult, repetitive, or physically demanding tasks.

These factors have shifted humanoids from an imagined future to an operational one.

Humanoid robots are not designed
to replace humans but to take over
tasks that no one wants or can perform
anymore.

What can humanoids really do today?

Public demonstrations sometimes make humanoids appear clumsy. Yet in industrial settings, their real capabilities are much more impressive.

1. Versatile manipulation
   Most new humanoids can:

   • Grasp fragile objects

   • Screw, unscrew, assemble

   • Sort irregular parts

   • Adjust movements using tactile feedback

   Robotic hands are now among the most advanced components, sometimes comparable to human hands.

2. Dynamic locomotion
   Recent bipedal robots can:

   • Climb stairs

   • Overcome obstacles

   • Navigate unstructured environments

   • Avoid people in real time

   The goal is no longer just to walk, but to walk usefully.

3. Real-time 3D perception
   They use combinations of:

   • LiDAR

   • Stereo cameras

   • IMUs

   • RGB-D cameras

   • AI models for segmentation and detection

   Result: they understand their environment much more richly.

4. Collaborative work
   Humanoids can interact with humans, recognize gestures, follow voice commands, or coordinate with other robots.

Why are industries finally taking notice?

The main advantage of humanoids is not technical but economic and logistical.

1. A robot that integrates into human environments
   Unlike industrial arms, AGVs, or AMRs, a humanoid:

   • Doesn’t need a redesigned workspace

   • Doesn’t require full-line automation

   • Works with existing tools

   • Can replace or assist an operator in a specific task

   It fits into human infrastructure rather than imposing it.

2. Unprecedented versatility
   A humanoid can change roles like a temporary worker:

   • Morning: handling

   • Afternoon: sorting and inspection

   • Evening: packaging

   This flexibility reduces the ROI threshold for investment.

3. A response to labor shortages
   In logistics, hospitality, or industry, some tasks simply have no candidates. Humanoids don’t replace skilled jobs but fill unstaffed positions.

The limits: not everything is ready for industrialization

Enthusiasm is real, but obstacles remain.

1. Cost
   A humanoid costs €60,000–€150,000 today, not including maintenance.

2. Energy autonomy
   Most operate 1.5–3 hours per charge, requiring:

   • Extra batteries

   • Quick-swap stations

   • Smart cycling

3. Robustness
   Bipedal robots remain vulnerable to shocks, dust, temperature changes, and extreme humidity compared to industrial arms.

4. Regulations
   Humanoids must comply with standards:

   • CE

   • ISO 10218

   • ISO 15066

   • ISO 13482 for personal robots

   Full safety certification remains complex.

Fad or revolution? Both, actually

A clear media effect
Viral videos of robots running or folding laundry generate buzz but can misrepresent real industrial contexts. Humanoids spark imagination, leading to both hype and skepticism.

But a structural revolution is underway
The real transformation isn’t in the humanoid shape but in:

• Context-aware robots

• Able to perceive

• Understand tasks

• Adapt to variability

• Collaborate with humans

Humanoids are a vehicle for a deeper revolution: the rise of intelligent, versatile robots.

Industry adopts humanoids not out
of fascination, but necessity: available
human labor is no longer enough.

2026–2032: What will really change

1. Massive pilot deployments
   Fleets of 100–1,000 humanoids will be deployed in logistics and modular factories.

2. Industrial standardization
   Humanoids will enter CE and ISO norms with adapted certification procedures.

3. Specialized humanoids
   Expect:

   • Handling humanoids

   • Quality inspection humanoids

   • Service humanoids

   • Agricultural humanoids

4. Integration with cloud/AI ecosystems
   Humanoids will become physical agents in multicloud architectures (Microsoft, Google, AWS) with:

   • Digital twins

   • Remote supervision

   • Shared global learning

   • Continuous optimization

The humanoid form is not a gimmick it’s an emerging standard.

Humanoid robots aren’t a universal solution but offer compatibility with human-built environments.

The question isn’t whether they will replace industrial arms or AGVs but whether they will become an additional tool for non-standardized, varied, and unpredictable tasks.

In 2026, everything indicates that humanoids are both:

• A media-fueled trend

• The start of a deep industrial revolution

Reality lies in between: they won’t dominate all workshops but will become essential where versatility, adaptability, and perception matter.

Robot Magazine will continue tracking this transformation, as humanoids’ arrival in industry could redefine the very concept of automated work.

FAQ – Humanoid Robots: Fad or Industrial Revolution?

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Cet article Humanoids at Work: Game-Changer or Just a Gadget? est apparu en premier sur Robot Magazine.

Today, Chinese robots are no longer confined to the domestic market. They are being deployed across Asia, the Middle East, Eastern Europe, Latin America, and Africa. This shift raises a critical question for global manufacturers and integrators: how competitive are Chinese robot makers in terms of industrial capacity, cost structure, and technical performance?

This article explores the reality behind China’s robot manufacturing rise, separating perception from measurable industrial capabilities.

From Import Dependence to Domestic Power

China’s robotics industry emerged from a clear strategic objective: reduce reliance on foreign automation suppliers while upgrading national manufacturing productivity. Government-backed programs such as Made in China 2025 and subsequent Five-Year Plans prioritized robotics as a strategic technology.

Initially, Chinese manufacturers focused on low-cost articulated robots for basic handling and welding tasks. Performance gaps were obvious. Precision, reliability, and software maturity lagged behind global leaders such as ABB, FANUC, KUKA, and Yaskawa.

However, China’s advantage was never technological superiority at the outset. It was industrial learning at scale.

With hundreds of thousands of robots deployed annually across domestic factories, Chinese manufacturers accumulated operational feedback at a speed unmatched globally. This accelerated design iteration, cost reduction, and gradual performance improvement.

Industrial Capacity: Scale as a Strategic Weapon

China’s most significant advantage lies in industrial capacity.

Manufacturing at volume

Leading Chinese robot manufacturers such as Estun, Efort, Siasun, STEP, Bozhon, and Han’s Robot operate large-scale production facilities capable of producing thousands of robots per year. This scale allows:

• faster amortization of R&D costs

• aggressive pricing strategies

• rapid customization for specific industries

• resilience in supply chain disruptions

Unlike Western manufacturers that often rely on distributed suppliers, many Chinese firms maintain high vertical integration, producing motors, reducers, control boards, and even software internally.

China is no longer just catching up in
robotics; it is reshaping the global automation
landscape.

Supply chain density

China’s robotics supply chain benefits from proximity to:

• motor and servo manufacturers

• harmonic and RV reducer suppliers

• sensor and vision companies

• PCB and electronics manufacturers

This density shortens development cycles and lowers costs, enabling manufacturers to respond quickly to market demand.

Cost Structure: The Price Advantage Explained

Chinese robots are often priced 20–40% lower than equivalent Western models. This cost advantage is not solely driven by labor costs.

Key cost drivers include:

• local sourcing of components

• economies of scale

• simplified mechanical designs

• lower overhead structures

• government incentives and subsidies

However, cost efficiency does not necessarily mean low quality. Many Chinese manufacturers have invested heavily in improving repeatability, payload accuracy, and durability.

For price-sensitive markets and applications with moderate precision requirements, Chinese robots present a compelling value proposition.

Performance: Closing the Gap

Performance remains the most scrutinized dimension.

Precision and repeatability

Modern Chinese industrial robots typically offer repeatability in the range of ±0.03 mm to ±0.05 mm, comparable to mid-range global competitors. For many handling, palletizing, and basic assembly applications, this level of precision is sufficient.

Reliability and uptime

Earlier generations of Chinese robots suffered from higher failure rates. Today, reliability has improved significantly, especially in standardized applications with controlled environments.

However, long-term durability in harsh conditions remains an area where Western and Japanese manufacturers still lead.

Software and control

Software remains a mixed picture. Chinese robot controllers are improving rapidly, with better user interfaces, offline programming tools, and basic AI integration.

Yet advanced features such as:

• complex motion planning

• high-end force control

• seamless integration with digital twins

are still more mature in ecosystems built around platforms from ABB, Siemens, or NVIDIA.

Industrial Robots vs Collaborative Robots

Chinese manufacturers have made particularly strong progress in collaborative robots (cobots).

Companies like Han’s Robot, Elite Robots, Dobot, and JAKA have gained international traction by offering:

• competitively priced cobots

• easy programming

• acceptable safety performance

• rapid deployment

Cobots are well suited to China’s strengths: standardized designs, cost optimization, and fast iteration.

In heavy-duty industrial robotics, Chinese firms are still selectively competitive, excelling in material handling and welding but facing challenges in ultra-precision tasks.

The future of industrial robotics will
be defined as much by industrial capacity as
by technical precision.

Global Expansion: From Domestic Champions to Exporters

Chinese robot manufacturers are increasingly targeting international markets.

Their expansion strategy typically includes:

• entering emerging markets first

• partnering with local integrators

• competing aggressively on price

• gradually upgrading performance and compliance

Europe remains a challenging market due to strict CE standards, safety requirements, and brand trust expectations. However, Chinese manufacturers that invest in compliance, documentation, and local support are gaining footholds.

The Competitive Landscape: China vs Global Leaders

Compared to established players:

• ABB, FANUC, KUKA, Yaskawa excel in precision, reliability, software ecosystems, and service networks.

• Chinese manufacturers excel in cost efficiency, customization speed, and production scale.

The competitive gap is narrowing, especially in mid-range applications.

For integrators and end-users, the choice increasingly depends on application requirements, budget constraints, and long-term service expectations.

Challenges and Limitations

Despite rapid progress, Chinese robot manufacturers face several challenges:

• brand trust in high-risk applications

• long-term service and spare parts availability abroad

• software ecosystem maturity

• cybersecurity and data protection concerns

• compliance with international standards

Addressing these issues is essential for sustained global adoption.

Strategic Implications for Global Buyers

For global manufacturers and integrators, Chinese robots represent both an opportunity and a disruption.

They enable:

• faster automation ROI

• deployment in cost-sensitive sectors

• scaling automation in emerging markets

But they require careful evaluation of:

• application criticality

• lifecycle costs

• integration complexity

• compliance requirements

A hybrid strategy is emerging, where Chinese robots are used for standardized tasks while premium brands handle critical operations.

Scale Meets Performance

Chinese robot manufacturers have reached a turning point.

Their strength is no longer limited to low-cost automation. Industrial capacity, supply chain control, and learning at scale have enabled steady performance improvements. While they do not yet dominate the high-end robotics segment, they are increasingly competitive across a wide range of industrial and collaborative applications.

As global demand for automation accelerates, Chinese robots will play an expanding role in shaping the future of industrial robotics.

For Robot Magazine readers, one conclusion is clear: ignoring Chinese robot manufacturers is no longer an option.

They are no longer catching up.
They are reshaping the global robotics market.

FAQ – Key Questions on the Rise and Competitiveness of Chinese Robot Manufacturers

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In a field that often feels too technical and exclusive, The Robot Queen  also known as Vanessa Loiola is breaking the mold. An engineer and passionate communicator, she has made it her mission to make robotics easy, engaging, and exciting. Through her content, followed by more than 100,000 people, she simplifies industrial robotics and shines a spotlight on the innovators shaping the industry of the future. Robot-Magazine.fr sat down with her to learn more. 

You’ve become one of the most recognizable voices in robotics online.

What inspired you to create The Robot Queen and to make robotics more accessible, engaging, and fun for a wider audience?

I was already sharing robotics content for a long time before The Robot Queen existed. The name and the logo came later. I created the brand because I wanted something that represented me and made my work instantly recognisable. It helped me stand out, open more doors, and reach people outside my usual network. The Robot Queen became a way to show my passion for industrial robots with a strong identity that people could connect with. It gave me the freedom to be myself while bringing more visibility to the industry.

Your content simplifies complex technical concepts.

How do you manage to make robotics understandable without losing technical depth? And what do you think still intimidates people most about this field?

I focus on translating technical ideas into practical examples from real projects. Robotics is only intimidating when it feels abstract. When you explain what a sensor does, how a path is taught, or why a robot behaves a certain way inside a cell, people connect with it immediately. What still scares many is the belief that robotics requires perfection. In reality, it is a field built on learning, testing, and improving. Once people realise that, the fear disappears.

You often collaborate with industrial companies.

How do these partnerships shape your vision of robotics today? And how do manufacturers perceive the role of content creators in such a technical environment?

Working directly with robot makers gives me a front row view of new technologies and real challenges inside factories. These collaborations help me show my audience what is happening behind the scenes and what solutions companies are building. Manufacturers now understand that content creators play a crucial role in education. We help translate their innovations into something people can understand and trust. The industry values this bridge between engineering and communication.

Robots are now part of our daily lives  in factories, hospitals, and even schools.

How do you see the relationship between humans and robots evolving over the next decade? Will it be more of a collaboration or a convergence?

The future is a strong collaboration. Robots will take on repetitive and heavy work, while people focus on decision making, creativity, and oversight. We will see safer environments, more intuitive interfaces and systems that adapt to human needs. Robots will not replace people. They will amplify what people can do. This cooperation will define the next decade.

You’re also a strong advocate for inclusion and education in technology.

What message would you like to send to young people especially women  who hesitate to enter the world of robotics and automation?

Do not wait for confidence to appear. Start before you feel ready. Robotics is not reserved for a special type of person. It is a field filled with opportunities for anyone who is curious and willing to learn. You belong here. Ask questions. Seek mentors. Join communities. Take one small step at a time. The industry needs more voices, more perspectives and more women shaping the future of automation.

Cet article Interview – The Robot Queen: Making Robotics accessible and inspiring est apparu en premier sur Robot Magazine.