As robotics shifts from prototypes to scaled deployment, a new battleground is emerging not around individual machines, but around the supply chains that make them possible.

Chinese firm Comtech is positioning itself at the center of that transition, describing its role as a “super connector” linking chipmakers, software providers and robotics companies into a unified ecosystem for embodied AI.

The strategy reflects a growing recognition across the industry: building robots is no longer just a hardware challenge, but a systems integration problem spanning semiconductors, AI models, simulation and global distribution.

Building the Infrastructure Behind Robots

Comtech operates as both a distributor of electronic components and a platform for integrating AI technologies into physical systems.

The company works with more than 100 global chip suppliers – including major U.S. firms – while serving a wide range of Chinese robotics developers across industries such as humanoids, drones and autonomous vehicles.

Its role is to bridge these layers.

According to company executives, developing a robot involves far more than assembling parts. It requires simulation tools, 3D modeling, embedded AI models and integration across hardware and software systems before a product can be deployed.

Comtech’s ecosystem approach aims to streamline that process by connecting companies that would otherwise operate in isolation.

The company is also a key distributor for Nvidia’s Jetson edge AI platform in China, which is widely used for robotics and embedded AI applications.

From Fragmented Demand to Scalable Markets

One of the challenges in robotics today is the fragmented nature of demand.

Unlike mature industries, where large volumes of standardized products drive economies of scale, robotics often involves small production runs across diverse use cases.

This makes it difficult for individual companies – particularly startups – to build efficient supply chains and reach global markets.

Comtech’s model attempts to address that gap by aggregating demand and providing shared access to components, integration expertise and distribution channels.

At a recent industry forum, the company signed agreements with partners across sectors including drones, media and robotics services, while also showcasing collaborations in areas such as brain-computer interfaces and embodied intelligence.

The company is also expanding internationally, working to help Chinese robotics firms establish sales and service networks in North America and other markets.

The Next Phase: Commercial Viability

While the ecosystem approach may accelerate development, the industry still faces significant hurdles in commercialization.

Experts at the forum emphasized that technical capability alone is not enough. For robots to succeed in real-world environments, they must meet practical benchmarks for reliability, cost and return on investment.

In industrial settings, companies are increasingly evaluating robots based on payback periods, with some investors suggesting that systems must justify their cost within relatively short timeframes to gain adoption.

Data availability is another constraint. Training embodied AI systems requires large volumes of real-world interaction data, which remains limited compared with software-based AI.

Despite these challenges, investment in robotics continues to rise, with hundreds of funding deals already recorded this year.

Comtech’s strategy suggests that the next phase of competition may not be won solely by the companies building robots, but by those capable of orchestrating the complex networks required to bring them to market.

As embodied AI systems become more sophisticated, the ability to connect components, data and distribution channels into a cohesive ecosystem could prove as critical as the robots themselves.

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MegazoneCloud and Japanese AI avatar company AVITA have announced a strategic partnership to bring “physical AI” systems into real-world deployment, combining conversational digital avatars with autonomous robots.

The collaboration reflects a growing shift in the robotics industry: moving beyond machines that can act in the physical world toward systems that can also communicate, guide and interact with humans in more natural ways.

By integrating cloud-based AI infrastructure with avatar-driven interaction models, the companies aim to deploy robots capable not only of performing tasks but also of engaging directly with customers across industries such as retail, finance and public services.

From Digital Avatars to Embodied Systems

At the core of the partnership is the integration of AVITA’s avatar technology with autonomous robotic platforms.

AVITA, founded by robotics researcher Hiroshi Ishiguro, has focused on creating AI avatars that can interact with users through conversation and visual representation. Its systems are already used in digital environments for customer support and training.

MegazoneCloud brings cloud infrastructure, AI deployment capabilities and a global enterprise network. Together, the companies plan to embed avatar systems into physical robots, effectively giving machines a conversational interface tied to real-world actions.

The combined system is designed to enable robots to guide customers, provide consultations and respond to inquiries while also performing physical tasks.

This approach differs from traditional service robots, which often rely on limited scripted interactions. By pairing avatars with autonomous decision-making systems, the companies aim to create more adaptive and human-like interactions.

Targeting High-Interaction Industries

The initial focus will be on sectors where customer interaction is central.

In retail, the companies are exploring applications such as unmanned checkout systems and in-store guidance. In finance, robots could assist with customer consultations, while training systems could simulate realistic interactions for employees.

AVITA’s existing products, including a customer interaction platform and a training system that uses AI avatars to simulate real-world conversations, will be integrated into these deployments.

The training system analyzes user responses and provides performance feedback, suggesting that physical AI systems could play a role not only in service delivery but also in workforce development.

The companies also plan to expand into public-sector use cases, where robots could assist with information services or administrative support.

Physical AI Moves Toward Human Interaction

The partnership highlights a broader evolution in robotics.

Early automation systems focused primarily on physical execution – moving objects, assembling parts or navigating spaces. More recent developments in embodied AI have added perception and decision-making capabilities.

The next step, increasingly, is communication.

As robots move into environments such as retail stores, offices and public spaces, their ability to interact with people becomes as important as their ability to perform tasks.

By combining avatars with physical systems, companies are attempting to bridge the gap between digital AI – which excels at conversation – and robotics, which operates in the physical world.

This convergence is drawing interest across the industry, with multiple companies exploring ways to integrate language models, perception systems and robotic hardware into unified platforms.

For MegazoneCloud and AVITA, the challenge will be translating these capabilities into reliable, scalable systems that can operate in real-world conditions.

If successful, the approach could redefine how businesses deploy automation – not just as a tool for efficiency, but as an interface between humans and machines.

Artificial Intelligence (AI), Business & Markets, News, Robots & Robotics

Faraday Future is expanding its presence in robotics with new deployments of humanoid systems in both commercial and educational settings, as the electric vehicle maker pushes deeper into what it calls an “embodied AI” ecosystem.

The California-based company said it recently delivered two of its robots – the Master and Aegis models – to Los Angeles-based New PBB Auto, where they will be used for reception and customer-facing duties in dealership and showroom environments.

The move reflects an emerging strategy among robotics companies to introduce humanoid systems into service roles where interaction with customers is as important as physical capability.

At the same time, Faraday Future is testing how its robots can be used in education, pointing to a broader effort to position embodied AI as both a commercial tool and a learning platform.

From Showroom Assistants to Service Platforms

The initial deployment focuses on dealership operations, where the robots are expected to greet visitors, provide information and assist with basic customer service tasks.

Such roles are increasingly seen as an early entry point for humanoid robots. Unlike industrial environments, where precision and speed dominate, service settings require machines to interact naturally with people – an area where embodied AI systems are still evolving.

Faraday Future’s approach suggests that automakers may view robotics as an extension of their existing ecosystems, connecting vehicles, retail environments and digital services.

The delivery is tied to a broader business relationship with New PBB Auto, which has previously committed to future vehicle orders from the company.

Testing Robots as Educational Tools

Alongside commercial deployments, Faraday Future has begun experimenting with robotics in education.

In Los Angeles, the company hosted an interactive demonstration involving more than 300 students, where participants engaged directly with humanoid robots, a robotic dog and one of the company’s vehicles.

The event, held in collaboration with a local school district, emphasized hands-on interaction rather than passive demonstrations. Company representatives said the experience highlighted how direct engagement with robots can increase student interest in artificial intelligence and STEM fields.

Faraday Future is now exploring whether such programs could be scaled into structured educational offerings, potentially combining robotics demonstrations with curriculum development.

The company describes this approach as a “Robot & Vehicle + Education” model, in which embodied AI systems are used not only as tools but also as teaching platforms.

Automakers Enter the Robotics Race

Faraday Future’s expansion into robotics underscores a broader trend in the automotive industry.

As vehicles become increasingly software-driven, automakers are exploring adjacent markets where artificial intelligence and hardware integration intersect. Robotics – particularly humanoid systems – represents one such opportunity.

Companies including Tesla have already signaled ambitions to develop humanoid robots alongside their automotive businesses. Faraday Future’s approach suggests a different entry point, focusing initially on service and education rather than large-scale industrial deployment.

The strategy also reflects a key challenge facing the robotics industry: identifying practical, near-term use cases.

While humanoid robots are often associated with future household or industrial roles, many companies are beginning with smaller, controlled deployments in environments such as retail, hospitality and education.

For Faraday Future, the combination of dealership deployments and school programs provides an early test of how embodied AI systems can function in real-world settings.

Whether these applications scale into a broader business remains uncertain. But the company’s efforts highlight how robotics is increasingly being treated not as a standalone industry, but as part of a wider ecosystem connecting mobility, services and digital intelligence.

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