Xinchang County, Zhejiang Province, is leveraging its bearing industry heritage and manufacturing strength to move traditional manufacturing into the embodied intelligence sector. The Xinchang County Market Regulation Bureau has adopted a localized approach to this transition. It has established the province’s first industrial measurement and testing center for embodied robot transmission components. The center is built around a functional positioning of full traceability chain, full industry chain, full life cycle, and forward-looking capability. Its mission is to create a “measurement + industry” integrated service model. By doing so, it consolidates full-chain support that runs from technical service to research and development support to achievement landing. This integrated approach is intended to empower new quality productive forces and to give traditional manufacturing a stronger role in the embodied intelligence economy.
The center’s creation is not simply an expansion of laboratory capacity. It is a strategic response to the measurement bottlenecks that appear when traditional mechanical parts are used in embodied intelligence systems. Embodied intelligence depends on robots that can sense, decide, and act in physical environments. Transmission components are among the most important physical links in that chain. If these components cannot be measured accurately across their full life cycle, then the reliability, durability, and precision of embodied intelligence platforms will remain limited. The Xinchang initiative therefore places measurement at the center of embodied intelligence industrial development. It treats measurement as a foundation for design, production, quality control, and large-scale application.
1. Professional Support Strengthens Measurement Assurance for Embodied Intelligence
The center focuses on industrial measurement gaps in embodied robot transmission components. These gaps are especially visible in areas such as high and low temperature performance, durability, and precision calibration. To address them, the center is building a measurement ecosystem described as full chain, full cycle, and full dimension. This ecosystem is designed to strengthen professional support and to provide a solid measurement assurance foundation for embodied intelligence manufacturers and their suppliers.
At present, the center is carrying out more than 10 provincial-level or above research projects. One example is a project on the method for improving the thrust density of robot lead screw pairs. Such research matters for embodied intelligence because robot joints and actuators require transmission systems that can deliver force efficiently in small spaces. Improvements in thrust density can affect the payload, energy efficiency, and compactness of embodied intelligence systems. The center has also successfully overcome 52 key parameter precise measurement technologies under complex working conditions. These technologies are not abstract laboratory achievements. They are meant to solve real production and quality problems that appear when transmission components operate under varied loads, temperatures, and duty cycles.
The center can provide 42 core instrument calibration services to upstream and downstream enterprises in the industry chain. It also offers more than 100 testing services, including precision testing for transmission components. These services support the measurement needs of companies that make parts, assemble modules, or integrate complete embodied intelligence systems. By offering calibration and testing in one specialized center, Xinchang reduces the need for enterprises to seek fragmented services in different locations. This improves efficiency and helps companies obtain consistent measurement results across the supply chain.
Measurement assurance is particularly important for embodied intelligence because the sector combines mechanical engineering, electronics, control systems, and artificial intelligence. A small error in a transmission component can propagate through the system. It may reduce positioning accuracy, shorten service life, or create safety risks. Precise measurement under complex working conditions helps manufacturers understand how components behave before they are deployed. It also helps them document performance and compare alternatives. For embodied intelligence to move from prototypes to large-scale products, this kind of measurement discipline is essential.
The center’s focus on high and low temperature performance reflects the reality that embodied intelligence systems are expected to operate in diverse environments. Robots used in manufacturing, logistics, inspection, and service may encounter temperature changes that affect materials, lubrication, and clearances. Durability testing addresses the need for long service life and predictable maintenance. Precision calibration addresses the need for accurate motion and force control. Together, these measurement capabilities support the reliability that embodied intelligence customers require.
The full traceability chain approach means that measurement results should be linked to national or international standards and should be traceable from the final product back to the component and material level. The full industry chain approach means that the center serves not only large integrators but also small and medium-sized suppliers. The full life cycle approach means that measurement support covers design, prototyping, production, testing, and application. The forward-looking approach means that the center invests in research projects that anticipate future needs in embodied intelligence. This combination gives the center a broad mandate that goes beyond routine testing.
In practical terms, professional support for embodied intelligence also involves uncertainty analysis, repeatability, and reproducibility. When a component is measured, the result must be reliable enough to support decisions about design, manufacturing, and acceptance. If measurement uncertainty is too large, companies may reject good parts or accept bad ones. Neither outcome helps the embodied intelligence industry. The center’s calibration services and precise measurement technologies are intended to reduce this uncertainty. They help create a common basis for judging whether a transmission component is suitable for a given embodied intelligence application.
The research projects at the center also support forward-looking capability. Embodied intelligence is changing quickly. New robot configurations, new actuator designs, and new application scenarios create new measurement challenges. A center that only responds to today’s problems may fall behind. By conducting provincial-level or above research, the center prepares for tomorrow’s requirements. The project on robot lead screw pairs is an example of this forward-looking work. It addresses a component that is central to motion and force transmission in many robotic systems. Improvements in thrust density can help embodied intelligence platforms become more capable and more efficient.
2. Full-Chain Integration Upgrades the Innovation Service Model for Embodied Intelligence
The Xinchang County Market Regulation Bureau has introduced an innovative co-construction model described as leading enterprise plus testing institution plus universities and research institutes. Under this model, Zhejiang Wuzhou Xinchun Group Co., Ltd. jointly undertakes the center’s operation with the Zhejiang Institute of Quality Science and China Jiliang University. This arrangement brings together industrial production experience, measurement science expertise, and academic research capacity. It is an example of how embodied intelligence development can be organized through collaboration rather than isolated efforts.
The center focuses on the full chain of transmission component technology research and development, test production, and quality control. It promotes deep integration between measurement and industry. The result is a full life-cycle testing service that covers product materials, process research and development, and component production. This service model supports the research and development of domestic high-end transmission components and their large-scale application. It is directly relevant to embodied intelligence because domestic high-end transmission components are needed to reduce dependence on imported parts and to improve the resilience of the embodied intelligence supply chain.
The center has already provided technical services to more than 50 enterprises across the country. This reach shows that the model is not limited to local companies. It serves a wider national base of manufacturers that are working on robots, automation equipment, and related products. Recently, the center helped a company in Beijing optimize the pilot test process for humanoid robot structural parts. As a result, the product qualification rate increased from 70 percent to 85 percent. This improvement is a concrete example of how measurement and process optimization can raise quality in embodied intelligence manufacturing.
The humanoid robot structural parts case is significant because humanoid robots are a high-profile part of the embodied intelligence field. Structural parts must meet demanding requirements for strength, weight, dimensional accuracy, and manufacturability. During pilot production, companies often face unstable yields. The center’s support helped the Beijing company refine its process and improve the share of acceptable products. A rise from 70 percent to 85 percent can reduce waste, lower costs, and increase confidence in the production process. It also demonstrates that measurement services can contribute directly to the commercial viability of embodied intelligence products.
The co-construction model also creates feedback loops. Enterprises bring real production problems to the center. Testing institutions and universities bring measurement methods, calibration expertise, and research capabilities. The leading enterprise brings knowledge of manufacturing scale-up and market needs. These inputs combine to produce solutions that are more practical than purely academic research and more rigorous than purely in-house testing. For embodied intelligence, where mechanical, electronic, and software systems interact, this kind of integrated problem-solving is especially valuable.
Full-chain integration also helps reduce duplication and inconsistency. When materials, processes, components, and final products are tested under a coherent measurement framework, companies can compare results more reliably. They can identify the source of quality problems faster. They can also generate data that supports design improvements. In the embodied intelligence industry, where many companies are still developing their products, this data-driven approach can shorten development cycles and improve product maturity.
The model further strengthens the link between research and application. In many technology fields, research results remain in laboratories because there is no clear path to industrial use. The center’s structure helps bridge that gap. University research can be tested against real production requirements. Testing institution methods can be applied to actual components. Enterprise engineers can provide feedback on what works in production. This cycle helps turn measurement research into practical services for embodied intelligence companies.
The focus on test production is also important. Between prototype and mass production, companies must prove that a design can be manufactured consistently. This stage often reveals problems that are not visible in early prototypes. Measurement and testing during test production help identify process variations, material issues, and tolerance problems. By supporting this stage, the center helps embodied intelligence products move toward market readiness. The Beijing humanoid robot structural parts case shows how this support can improve qualification rates and reduce uncertainty.
3. Open Sharing Accelerates Embodied Intelligence Industrial Cluster Development
The center continues to open its shared laboratory service. The purpose is to improve the utilization rate of instruments and equipment and to provide better technology and talent services. Shared laboratories are particularly important for small and medium-sized enterprises that cannot afford to purchase every expensive calibration or testing device. By opening access, the center lowers the barrier to high-quality measurement for a wider group of companies working on embodied intelligence.
The open sharing model also supports the service-oriented transformation of manufacturing leading enterprises. Instead of using measurement only for internal production, a leading enterprise can offer measurement services to other companies. This creates a self-sustaining cycle described as small enterprises enjoying preferential access and large enterprises gaining returns. Smaller firms can obtain services at more accessible conditions, while larger firms can generate revenue and strengthen their role in the industrial ecosystem. The cycle stimulates collaborative development across the supply chain and supports the growth of an embodied intelligence cluster.
At present, the center and Wuzhou Xinchun Group have reached more than 3 million yuan in measurement service revenue. The expectation is that revenue will exceed 5 million yuan by 2027. These figures show that measurement services are not only a technical necessity but also a viable business activity. They indicate that the center is building a sustainable model that can continue to invest in equipment, talent, and research. For the embodied intelligence sector, such a model can provide long-term measurement infrastructure rather than short-term project support.
Industrial clusters benefit from shared infrastructure. When companies are located near each other and can access common testing and calibration services, they can collaborate more easily. They can also compete on product performance rather than on access to basic measurement. Xinchang is using this logic to develop an embodied intelligence cluster that connects traditional manufacturing capabilities with new robotic applications. The shared laboratory becomes a meeting point for engineers, researchers, and company technicians. It supports problem-solving and knowledge exchange.
The focus on talent services is also important. Measurement and testing require skilled personnel who understand instruments, standards, uncertainty, and application requirements. By opening its facilities and services, the center helps cultivate a talent pool for embodied intelligence. Companies can send staff to work with the center, and universities can involve students in real projects. This practical exposure helps build the human capital needed for the embodied intelligence industry to scale.
The service-oriented transformation of leading manufacturers is a notable feature of the model. Traditional manufacturing companies often focus on producing parts. When they add measurement services, they move toward higher-value activities. They become problem solvers for their customers. In the embodied intelligence market, customers need not only parts but also assurance that those parts will perform reliably. Measurement services provide that assurance. This shift can improve margins, deepen customer relationships, and create new sources of growth.
Open sharing also helps build trust. When companies use the same shared laboratory and follow the same measurement procedures, they can compare results more confidently. This is valuable in embodied intelligence supply chains, where components from different suppliers must work together. Shared services can reduce disputes over quality and performance. They can also help smaller suppliers meet the requirements of larger customers. Over time, this can raise the overall quality level of the embodied intelligence cluster.
The cluster approach also supports faster innovation. When suppliers, testing services, and integrators are close to one another, feedback loops become shorter. A problem found in testing can be discussed directly with the component supplier. A design change can be measured quickly. A new material or process can be evaluated without long delays. For embodied intelligence, where hardware and software must be tightly integrated, these short feedback loops can speed up development and improve product performance.
4. Data Sharing and Standards Build a Transformation Path for Embodied Intelligence
The center uses measurement and testing data sharing as a key lever. By sharing data, it aims to accelerate core technology research and standard formulation. This is important because embodied intelligence spans many companies and technologies. Without shared data and common standards, progress can be slowed by incompatible interfaces, inconsistent test methods, and unclear performance claims. The center’s work helps build a common measurement language for transmission components and related systems.
The center is building an industrial cluster transformation and upgrading path described as technology breakthrough, measurement empowerment, standard promotion, and industrial application. This path starts with research that produces new technical solutions. Measurement then provides the evidence needed to validate and improve those solutions. Standards help spread the solutions across the industry. Industrial application turns them into products and services that can be used at scale. For embodied intelligence, this path offers a structured way to move from laboratory ideas to market-ready components and systems.
Technology breakthroughs in transmission components can include improvements in materials, geometry, lubrication, manufacturing processes, and control methods. Measurement empowerment means that these breakthroughs are tested under realistic conditions and with traceable methods. Standard promotion means that successful methods and performance requirements are documented so that more companies can adopt them. Industrial application means that the resulting components are integrated into robots and embodied intelligence platforms. Each stage depends on the previous one, and measurement connects them all.
The reorganization of technology, talent, and resources is another goal. Traditional manufacturing regions often have strong production capabilities but may lack the research and measurement infrastructure needed for advanced industries. By building the center, Xinchang is helping to reorganize local resources around embodied intelligence. Engineers can move from conventional bearing production to advanced transmission components. Universities can align research with industrial needs. Testing institutions can develop new calibration methods. This reorganization strengthens core competitiveness and helps the region sprint in the embodied intelligence industry’s new track.
Standards are especially important for embodied intelligence because safety and reliability are major concerns. Robots that operate near people or in critical environments must meet performance expectations. Standards based on solid measurement data can provide confidence to customers, regulators, and investors. They can also reduce trade barriers and help domestic products compete in international markets. The center’s data-sharing approach supports the development of such standards by providing evidence from real testing and calibration activities.
Data sharing must be handled with care. It should respect commercial confidentiality and intellectual property while still allowing useful information to flow. The center’s role as a trusted measurement institution can help balance these concerns. By aggregating data and developing common test methods, the center can support industry-wide learning without exposing individual company secrets. This balanced approach can encourage more companies to participate in standard development and measurement improvement for embodied intelligence.
The transformation path also helps align different parts of the embodied intelligence ecosystem. Component makers, robot integrators, software developers, and end users all have different needs. A common measurement and standards framework helps them communicate. It allows performance claims to be compared. It allows quality requirements to be specified. It allows improvements in one part of the system to be recognized and adopted elsewhere. This alignment is essential for the embodied intelligence industry to grow beyond isolated applications.
5. Measurable Results Show the Scale of the Embodied Intelligence Service Platform
The center’s progress can be seen in a set of measurable results. These results cover research, measurement capacity, enterprise services, revenue, talent development, cluster formation, and expected output value. They provide a snapshot of how the “measurement + industry” model is supporting the embodied intelligence sector.
| Indicator | Result |
|---|---|
| Focus area | Embodied robot transmission components for embodied intelligence |
| Measurement ecosystem | Full chain, full cycle, and full dimension |
| Provincial-level or above research projects | More than 10 |
| Key parameter precise measurement technologies under complex working conditions | 52 |
| Core instrument calibration services | 42 |
| Testing services, including transmission component precision testing | More than 100 |
| Enterprises served nationwide | More than 50 |
| Humanoid robot structural parts pilot process improvement | Product qualification rate raised from 70 percent to 85 percent |
| Measurement service revenue of the center and Wuzhou Xinchun Group | More than 3 million yuan |
| Expected measurement service revenue by 2027 | More than 5 million yuan |
| Open service sessions | More than 50 |
| Professional technical talents trained | More than 100 |
| Embodied robot industrial cluster | More than 50 enterprises |
| Robot key component coverage | More than 60 percent |
| Expected output value by 2027 | More than 8 billion yuan |
The table shows that the center is not only conducting research but also delivering services and building an industrial base. The 52 measurement technologies and 42 calibration services indicate depth in technical capability. The more than 100 testing services show breadth in application support. The more than 50 enterprises served nationwide demonstrate that the center’s impact extends beyond Xinchang. The humanoid robot structural parts case provides a clear example of quality improvement. The revenue figures suggest that the service model can be financially sustainable. The talent and cluster figures point to long-term capacity building for embodied intelligence.
The expected output value of more than 8 billion yuan by 2027 is a significant projection for the embodied intelligence cluster. It reflects the combined effect of enterprise formation, component coverage, and market demand. The projection is not attributed to the center alone, but the center’s measurement services are intended to support the cluster’s growth. By covering more than 60 percent of robot key components, the cluster is positioned to serve a wide range of embodied intelligence applications. This coverage can help reduce supply chain gaps and improve the availability of domestic components.
The more than 50 open service sessions and more than 100 trained technical talents are also important indicators. Open services spread knowledge and best practices. Trained talents bring measurement discipline into companies. Over time, this can raise the overall quality level of the embodied intelligence industry in the region and beyond. The combination of service sessions and talent development helps ensure that the center’s impact is not limited to individual projects.
The revenue figures deserve particular attention. More than 3 million yuan in measurement service revenue shows that companies are willing to pay for high-quality measurement support. The expected increase to more than 5 million yuan by 2027 suggests that demand may grow as the embodied intelligence cluster expands. Revenue can help the center maintain and upgrade its equipment, train staff, and develop new methods. In this way, the service model can become self-reinforcing. It supports industry while also generating resources for future support.
The humanoid robot structural parts improvement from 70 percent to 85 percent is a compact but powerful indicator. It shows that measurement and process optimization can produce measurable quality gains. In manufacturing, even a small improvement in qualification rate can have a large effect on cost and capacity. A 15 percentage point increase can reduce rework, scrap, and delays. It can also improve customer confidence. For embodied intelligence companies, such gains can make the difference between a pilot product and a scalable product.
6. The Broader Significance for Traditional Manufacturing and Embodied Intelligence
The Xinchang initiative is significant because it shows how traditional manufacturing regions can enter the embodied intelligence sector. Xinchang is known for bearings and manufacturing. Those capabilities are directly relevant to embodied intelligence, which requires precision motion, force transmission, durability, and reliability. Instead of abandoning traditional manufacturing, the region is upgrading it. Measurement becomes the bridge between existing production strengths and new embodied intelligence requirements.
Embodied intelligence is often discussed in terms of software, algorithms, and artificial intelligence models. However, physical performance remains a limiting factor. A robot cannot act intelligently in the physical world if its joints, actuators, and transmission components are inaccurate or unreliable. Measurement and testing are therefore essential to embodied intelligence. They provide the data needed to improve designs, control quality, and validate performance. The center’s work addresses this physical foundation of embodied intelligence.
The “measurement + industry” model also shows how public institutions can support industrial development. The market regulation bureau is not directly manufacturing robots or components. Instead, it is helping to create the measurement infrastructure that industry needs. This infrastructure includes calibration services, testing services, research projects, shared laboratories, and standards. By providing these services, the bureau helps companies focus on their core business while relying on trusted measurement support. This division of labor can accelerate embodied intelligence development.
The co-construction model with a leading enterprise, a testing institution, and a university is another broadly relevant lesson. Embodied intelligence is a multidisciplinary field. No single organization has all the necessary capabilities. Collaboration allows each partner to contribute its strengths. The leading enterprise understands production and market needs. The testing institution understands measurement science and calibration. The university understands research and talent development. Together, they can solve problems that would be difficult to solve alone. This model can be adapted by other regions seeking to enter the embodied intelligence industry.
Open sharing and data sharing further increase the model’s value. When measurement resources are shared, more companies can benefit. When data is shared within appropriate boundaries, the industry can learn faster. Standards can be developed more quickly. Common problems can be identified and solved. In embodied intelligence, where many companies are working on similar challenges, this collective approach can reduce duplication and accelerate progress.
The cluster approach also matters. Embodied intelligence supply chains include sensors, actuators, transmission components, controllers, software, and integration services. A cluster that covers a large share of robot key components can support faster prototyping and production. Xinchang’s existing manufacturing base provides a starting point. The center provides measurement support. The cluster provides interaction among suppliers and customers. This combination can create a virtuous cycle of innovation and production.
For traditional manufacturing companies, the message is that entry into embodied intelligence does not require abandoning existing skills. Bearing production, precision machining, heat treatment, and quality control are all relevant. What changes is the level of measurement and documentation required. Embodied intelligence customers need evidence of performance. They need traceability. They need consistency. The center helps traditional manufacturers meet these new requirements. In doing so, it helps them move up the value chain and participate in a growing market.
For the embodied intelligence sector, the message is that hardware quality remains critical. Advances in artificial intelligence can make robots more capable, but those capabilities depend on physical components that perform as expected. Measurement and testing are not bottlenecks to be ignored. They are enablers of reliability, safety, and scale. The Xinchang center demonstrates how a focused measurement initiative can support the entire embodied intelligence ecosystem, from materials to components to final systems.
7. A Replicable Model for Embodied Intelligence Industrial Upgrading
The Xinchang model can be summarized as a practical approach to embodied intelligence industrial upgrading. It combines local manufacturing strengths with specialized measurement services, collaborative operation, open sharing, data-driven standards, and cluster development. The following elements are central to the model:
- A strong local manufacturing base, including bearing and precision component production, provides the foundation for entering the embodied intelligence supply chain.
- A specialized measurement and testing center focuses on the specific needs of embodied robot transmission components, including high and low temperature performance, durability, and precision calibration.
- Joint operation by a leading enterprise, a testing institution, and a university brings together production knowledge, measurement expertise, and research capacity.
- Full-chain and full-life-cycle services cover materials, process research and development, component production, testing, and application.
- Shared laboratory services improve equipment utilization and make advanced measurement accessible to more companies working on embodied intelligence.
- Data sharing and standard promotion help transform isolated technical achievements into industry-wide practices.
- Cluster development connects suppliers, integrators, and service providers, increasing the coverage of robot key components and supporting embodied intelligence applications.
These elements work together to support the transition from traditional manufacturing to embodied intelligence. The center’s research projects and measurement technologies address technical bottlenecks. Its calibration and testing services support quality and reliability. Its collaboration model connects different types of organizations. Its open sharing model expands access. Its data and standards work spreads best practices. Its cluster development efforts create a broader industrial ecosystem. Each element reinforces the others.
The results reported so far show that the model is producing tangible outcomes. More than 50 enterprises have received technical services. A humanoid robot structural parts pilot process improved from 70 percent to 85 percent qualification. Measurement service revenue has reached more than 3 million yuan and is expected to exceed 5 million yuan by 2027. More than 50 open service sessions have been held, and more than 100 professional technical talents have been trained. An embodied robot industrial cluster with more than 50 enterprises is taking shape, with products covering more than 60 percent of robot key components and an expected output value of more than 8 billion yuan by 2027.
For the embodied intelligence sector, the Xinchang experience suggests that measurement infrastructure is not a secondary concern. It is a core enabler. Embodied intelligence systems must operate in the real world, and the real world imposes strict demands on precision, durability, and reliability. Measurement and testing provide the evidence that components and systems can meet those demands. By building a specialized center and integrating it with industry, Xinchang is helping to create the conditions for embodied intelligence to scale.
The model also offers a path for other traditional manufacturing regions. Rather than starting from scratch, regions can build on existing capabilities. They can identify the measurement gaps that limit entry into embodied intelligence. They can create partnerships among enterprises, testing institutions, and universities. They can open shared facilities to a wider group of companies. They can use data sharing and standards to spread knowledge. They can support cluster development to connect suppliers and customers. These steps can help traditional manufacturing regions participate in the embodied intelligence economy.
In the end, the Xinchang initiative demonstrates that the transition to embodied intelligence is not only about new algorithms or new robot designs. It is also about the industrial foundations that make those designs reliable and manufacturable. Measurement, calibration, testing, standards, talent, and collaboration are essential parts of that foundation. By strengthening these elements, Xinchang is helping traditional manufacturing enter the embodied intelligence new track and building a “measurement + industry” service model that can support the growth of embodied intelligence for years to come.
8. Key Implications for the Future of Embodied Intelligence
The center’s work has several implications for the future of embodied intelligence. First, measurement capacity will become more important as embodied intelligence systems become more complex. More sensors, actuators, and moving parts mean more sources of error and more need for precise testing. A center that specializes in transmission components can help the industry manage this complexity. It can provide the data needed to improve designs and ensure that components work together as intended.
Second, standards will play a growing role in embodied intelligence. As the industry matures, customers will expect common ways to compare performance. They will want to know how a component behaves at different temperatures, under different loads, and over time. Standards based on solid measurement data can provide this comparability. The center’s data-sharing and standard promotion efforts can help build the foundation for such standards. This can benefit both suppliers and buyers in the embodied intelligence market.
Third, collaboration will remain essential. Embodied intelligence is too broad for any single company or institution to master alone. The Xinchang model shows how a leading enterprise, a testing institution, and a university can work together. It also shows how a public agency can facilitate the process. This collaborative approach can be replicated in other regions and other parts of the embodied intelligence supply chain. It can help accelerate innovation while maintaining quality and reliability.
Fourth, shared infrastructure can lower barriers to entry. Small and medium-sized enterprises often struggle to afford advanced testing equipment. A shared laboratory can give them access to the same quality of measurement as larger competitors. This can increase competition and innovation in the embodied intelligence sector. It can also help more companies participate in the supply chain. The Xinchang model’s “small enterprises enjoy preferential access, large enterprises gain returns” cycle is one way to make shared infrastructure financially sustainable.
Fifth, talent development is a long-term need. Measurement and testing are specialized fields. They require people who understand instruments, standards, uncertainty, and application requirements. The center’s training of more than 100 professional technical talents is an investment in the future of embodied intelligence. These talents can work in component companies, robot integrators, testing institutions, and research organizations. Their skills will help spread measurement discipline throughout the embodied intelligence industry.
The Xinchang initiative therefore offers a comprehensive example of how measurement and industry can work together. It addresses technical gaps, builds service capacity, encourages sharing, supports standards, develops talent, and fosters cluster growth. It uses measurement as a foundation for quality and reliability in embodied intelligence. It also shows that traditional manufacturing regions can play a major role in the embodied intelligence economy. By upgrading existing strengths rather than starting from zero, they can move into new markets and create new value.
As embodied intelligence continues to develop, the demand for precise, traceable, and reliable measurement will only increase. Robots will be expected to operate in more environments, perform more tasks, and work more closely with people. Each of these expectations depends on physical components that perform correctly. The center’s focus on transmission components places it at the heart of this challenge. Its work supports the components that turn energy into motion and motion into useful action. Without reliable transmission, embodied intelligence cannot achieve its full potential.
The Xinchang model also demonstrates that industrial upgrading is a process of connection. It connects traditional manufacturing with new technology. It connects research with production. It connects small enterprises with large enterprises. It connects measurement data with standards. It connects local capabilities with national and international markets. These connections create a stronger ecosystem for embodied intelligence. They help ensure that innovation in embodied intelligence is not limited to a few large players but is distributed across a wider industrial base.
In conclusion, the “measurement + industry” integrated service model in Xinchang is a practical and forward-looking response to the needs of the embodied intelligence sector. It builds on local strengths, addresses measurement bottlenecks, and creates a collaborative platform for research, testing, calibration, standards, and talent development. Its early results show progress in enterprise services, quality improvement, revenue generation, cluster formation, and expected output value. For embodied intelligence to grow, such measurement infrastructure will be essential. The Xinchang experience provides a model that can inform other regions and industries as they seek to enter the embodied intelligence new track.