Breaking the Industry “Silos”: How Embodied Intelligence Is Reshaping the New Logic of Port Operations

On the new track of global technological competition, embodied intelligence is emerging as the cornerstone for countries to shape their future industries. By 2025, China’s embodied intelligence market is expected to surpass 5 billion yuan, accounting for nearly 30% of the global share. Step into an automated terminal in China, and you’ll see unmanned gantry cranes precisely picking up containers, while intelligent robots conduct autonomous inspections—behind these remarkable scenes lies the profound transformation driven by embodied intelligence. To date, China has built 52 automated container and dry bulk terminals, placing it among the world’s leaders in both scale and technology, marking the entry of port intelligence into a new stage characterized by “system autonomy.”

What is embodied intelligence?

It’s not just a “machine that gets the job done”; rather, it’s a “smart port employee” equipped with perception, decision-making, and execution capabilities. By interacting with the environment through multimodal sensors and relying on AI algorithms for autonomous judgment, it can flexibly adjust its operational approach even in complex scenarios such as those affected by wind and rain or featuring irregularly shaped cargo. Due to their combination of standardization and complexity, ports have become the ideal testing ground for the practical application of embodied intelligence. And the full-stack, self-developed technologies deeply cultivated by the “HIRI FUTURE” brand under Fujian Electronic Port represent a cutting-edge microcosm of this industrial revolution.

How will embodied intelligence bring about a “qualitative transformation” to ports?

The introduction of embodied intelligence heralds a paradigm shift in port operations—from “automation” to “autonomy.”

01 From “Specialized Tool” to “Jack-of-all-trades”
In the future, robots will no longer be single-function devices; instead, they’ll become “general-purpose laborers” capable of moving freely and performing a wide variety of tasks. They’ll be able to autonomously carry out the entire workflow—from unlocking twisted locks to stacking items inside cabins.

02 From “Centralized Control” to “Distributed Collaboration”
Each robot becomes an intelligent agent equipped with local decision-making capabilities. After receiving a macro-level task, it can autonomously perform path planning and real-time obstacle avoidance, enabling decentralized collaboration and significantly enhancing system efficiency and robustness.

03 From “Hardware-Defined” to “Software-Defined”
With the help of advanced perception algorithms, robots can adapt to unstructured environments. Terminals don’t need large-scale hardware upgrades—capability iterations can be achieved simply by upgrading the algorithms, significantly lowering the barrier to entry for intelligent automation.

However, behind the industry’s boom, a hidden concern—a “lonely island”—is emerging: high data silos, a proliferation of diverse technological approaches, and enterprises operating independently—each robot speaking a different “dialect.” This makes collaborative operations extremely difficult and hinders overall breakthroughs.

What is the “island” of the embodied intelligence industry?

The so-called “isolated islands” refer to the lack of effective collaboration among research institutions and enterprises in the development of embodied intelligence, making it difficult to share data, leading to incompatible standards, fragmented technological approaches, redundant investments by enterprises, insufficient industrial chain synergy, and difficulties in interoperability of research outcomes.

According to the “Embodied Intelligence Development Report (2024),” the lack of data has become a major barrier to breakthroughs in embodied intelligence capabilities. Embodied intelligence demands massive volumes of high-quality, diverse data. However, acquiring scenario-specific data is extremely challenging: it requires capturing multimodal sensory data—including visual, tactile, and force-based data—as well as decision-making process data generated when robots interact dynamically with the real world. Moreover, data collection is costly, time-consuming, and it’s difficult to achieve economies of scale. Due to differences in data storage formats, metadata structures, and annotation granularity, data sharing among enterprises has virtually become an unattainable luxury, giving rise to isolated “data silos.”

The practice of “HIRI FUTURE”:

Pioneering pragmatic pathways amid industry dilemmas.

Faced with the industry's "island" dilemma and the port's need for upgrades, "HIRI FUTURE," under Fujian Electronic Port, has forged a pragmatic path by leveraging fully self-developed, full-stack technology. Its core product, the "L4-level intelligent loading and unloading robot," boasts three major breakthroughs:

The initial “perception-decision-execution” closed loop has been achieved: With just visual perception and deep learning algorithms, fully automated and precise operations can be achieved.

Implemented the integration concept of breaking down “data silos”: Its innovative “one set of sensors, one brain” design enables data to flow seamlessly within the system, laying the foundation for future large-scale device collaboration.

A key step toward fully domesticating the full-stack technology has been completed: From core algorithms to front-end hardware implementation, achieving full domestic production not only resolves the “bottleneck” issue but also makes a significant contribution to building an open and self-reliant industrial ecosystem.

Automatic container release for external containers

Automatic container release for internal collection.

The external container truck driver parks accurately according to the guidance.

By integrating algorithms with software and hardware innovations, HIRI FUTURE customizes exclusive models tailored to the actual pain points of ports. For instance, in response to container positioning deviations caused by windy or rainy weather, deep-learning algorithms can analyze visual data in real time and swiftly adjust operational parameters to ensure accuracy. In terms of software-hardware integration, HIRI FUTURE adopts a design philosophy of "one set of sensors, one central brain": the same sensor can simultaneously serve multiple systems—including collision avoidance, surveillance, and positioning—thus reducing hardware costs and eliminating data silos between different devices. This approach boosts algorithm response speed by 50%, ensuring precise implementation of technology even in complex scenarios.

Looking ahead

There is no doubt that embodied intelligence will bring efficiency gains and transformative changes to ports; however, addressing the challenges mentioned above will not happen overnight. In the future, we need to gradually remove barriers to implementation through technological breakthroughs (such as developing domestically produced sensors and optimizing algorithms for extreme environments), cost control (such as modular design and scaled production), collaborative standard-setting (such as establishing industry-wide interface specifications), and the enhancement of security systems (such as algorithm safety certification and regulations for defining responsibilities). Only by overcoming these bottlenecks can embodied intelligence truly become the “core engine” of the port’s intelligent transformation, propelling Chinese ports from being “automation leaders” toward becoming “smart benchmarks.”

The exploration of “HIRI FUTURE” proves that the breakthrough path for China’s embodied intelligence industry lies in deeply integrating cutting-edge concepts with the industry’s most pressing pain points. We don’t need to wait for a perfect, ultimate solution; instead, we can start by making today’s heavy-duty equipment “intelligent,” gradually transforming ports from rigid assembly lines into intelligent organisms capable of self-optimization and flexible adaptation. As the industry’s “isolated islands” are interconnected and every unit within the port gains autonomous intelligence, what awaits us is not just a leap in logistics efficiency—but also a comprehensive upgrade of China’s intelligent manufacturing on the global stage.

Partial sources: Transportation Construction and Management, QiuShi Net, Smart Port Development, etc.