Industry-academia-research synergybrings industrial embodied intelligence to the production line
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On 3C production lines, intelligent robots can independently complete precision loading and unloading and human-machine collaborative work, effectively solving the problems of high line rigidity and high retrofitting costs; in the die-casting workshops of new-energy vehicle makers, intelligent robots achieve the integration of casting, welding, inspection and grinding, reducing reliance on manual labor while optimizing production costs.
Relying on the deep synergy of industry, academia, research and application, and superimposing the linkage effects of policy guidance, scientific research, enterprise transformation and scenario application, China's industrial embodied intelligence has been included in the key layout of future industries, and is accelerating from the laboratory to the factory production line, becoming a key force in promoting the flexible and intelligent transformation of manufacturing and shoring up the foundation of a manufacturing power.
Policy support and regional clusters take shape
At the policy level, industrial embodied intelligence has been written into the "2026 Government Work Report," which clearly calls for the research, industry and application ends to jointly carry out technical breakthroughs and achievement transformation. As Zheng Zhiming, academician of the Chinese Academy of Sciences, put it, embodied intelligence is a key field of global technology competition, as well as a core strategic support for reshaping the underlying logic of national industrial manufacturing and developing new quality productive forces.
In terms of industrial layout, China has formed industrial embodied-intelligence clusters centered on Shenzhen, the Yangtze River Delta, the Pearl River Delta and Beijing, with 3C, new energy, automotive, semiconductors and logistics/warehousing becoming the fastest-deployed application scenarios. Xu Xinchao, district mayor of Beijing's Haidian District, explained that Haidian has explored a "five parties, six forces" achievement-transformation model, launched "three-circle investment" full-life-cycle support policies, and provided supporting talent-guarantee measures such as housing and subsidies, offering all-around services for collaborative innovation between schools and enterprises.
Collaborative innovation among industry, academia, research and application is inseparable from the support of a sound supply chain and a core-technology foundation. To this end, Beihang University and Beijing Xiaoyubot Technology Co., Ltd. recently jointly established a Joint Laboratory of Industrial Embodied Intelligence and launched an Industrial Embodied Intelligence Industry Alliance initiative, linking multiple partners to jointly build the industrial ecosystem and jointly set industry standards, injecting strong momentum into the intelligent upgrading of manufacturing.
Industry insiders believe that universities and research institutes focus on technology R&D, joining with enterprises to tackle problems and cultivate interdisciplinary talent; enterprises leverage their industrial advantages to promote the engineering and productization of technology and create scenario-adapted solutions. Industrial embodied intelligence is currently moving from product validation toward large-scale manufacturing, which requires intelligent agents to possess the comprehensive capabilities of perception, decision-making, execution and autonomous learning, in order to adapt to more unstructured production scenarios.
Qiao Zhongliang, founder and CEO of Xiaoyubot, said that innovative technology is usually first applied in production and then popularized in daily life. Traditional industrial automation applies to standardized products such as automobiles and consumer electronics, but struggles to meet the production needs of non-standard fields such as shipbuilding and aerospace; industrial embodied intelligence is precisely a leap and upgrade over traditional automation. Amid the industry's entrepreneurial boom, it is necessary to rely on industry-academia-research-application synergy to create a "super hit product" for industry-chain applications, driving the industry chain to consolidate the foundation of industry development.
Industry voices: cost, supply chain and reliability
Li Hongjiang, executive vice president and secretary-general of the China Electromechanical Equipment Engineering Association, believes that industrial embodied intelligence is an important path to solving the problems of insufficient autonomous control of high-end equipment, low levels of flexible production and lagging intelligent operation and maintenance of equipment. A laboratory integrating industry, academia, research and application builds a full-chain innovation closed loop of real-scenario validation and achievement transformation, helping high-end equipment achieve full-dimensional automation.
He Zhangxiang, vice president of the Beijing-Tianjin-Hebei New Energy Vehicle Collaborative Development Promotion Association, noted that embodied-intelligence robots still face problems such as an immature supply chain and a low degree of component standardization, and that it is necessary to link resources from government, research institutions and enterprises, support the construction of joint laboratories, and promote the deployment of technology in Beijing-Tianjin-Hebei industrial scenarios.
Feng Qingchuan, director of the Intelligent Manufacturing Research Institute of China Construction Steel Structure, said that embodied-intelligence robots have already been applied in the building steel-structure field, but large-scale deployment still faces challenges such as high on-site adaptation costs and high requirements for system stability. The joint laboratory can be based on real engineering needs, focusing on lowering the cost of equipment deployment and maintenance and improving reliability under complex working conditions.
Some experts also mentioned that industrial embodied intelligence is in a key window period for large-scale deployment, supported by multiple favorable factors in policy, capital and technology. But problems such as cost control, scenario adaptation and industry-chain synergy still need to be solved; only by breaking through the barriers to industry-academia-research-application synergy and promoting the widespread application of intelligent robots in industrial production can solid support be provided for the transformation of China's manufacturing toward the high-end, intelligent and green.