Tianjin has officially unveiled a new strategic plan for its intelligent robotics sector, setting ambitious targets for growth and technological advancement over the next few years.
On August 10, the Tianjin Municipal Bureau of Industry and Information Technology, the Municipal Development and Reform Commission, and the Municipal Science and Technology Bureau jointly released the "Tianjin Intelligent Robotics Industry Innovation and Development Action Plan (2026-2028)." The plan outlines a goal for the city's intelligent robotics core output value to surpass 20 billion yuan by the end of 2028, with an average annual growth rate exceeding 15%. The plan also aims to boost the regional supply chain support rate within the Beijing-Tianjin-Hebei area to over 60%.
This initiative is designed to establish a comprehensive industry ecosystem covering the entire cycle of "R&D, manufacturing, application, and service," as well as the full chain of "decision-making and control, main body, core components, and integrated services." The city intends to build one intelligent robotics innovation consortium, compete for one to two national-level innovation platforms, and tackle core technologies in areas such as master control chips, operating systems, reducers, and servo motors, aiming to develop 20 technology products.
The plan also sets a target to cultivate more than three enterprises with an output value exceeding 1 billion yuan, and 20 national-level "Little Giant" enterprises specializing in new and sophisticated technologies. Tianjin will establish the Tianjin Intelligent Robotics Innovation Center and the Tianjin Intelligent Robotics Agile Manufacturing Center, create a series of demonstration experience centers, and build no fewer than 20 real-world simulation training spaces. The plan calls for the creation of over 100 demonstration application scenarios in fields such as industrial manufacturing, special operations, and livelihood services.
Furthermore, the plan emphasizes tackling key technologies like end-to-cloud collaborative chips and operating systems. It aims to improve the performance and quality of critical components, including drive-control integrated controllers, lightweight, high-load-bearing bionic main structures, and highly integrated joints. The plan also focuses on iteratively optimizing innovative algorithm models and strengthening the supply of high-quality datasets. Specific targets include developing no fewer than 200 specialized industrial models and forming no fewer than 100 high-quality datasets.
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