The "robot team" is on duty, and Tianjin Metro has launched a new model of smart operations

Rail Transit Expo News: Recently, the Tianjin Rail Transit Group Intelligent Robot Real-Scene Application Test Station was completed at the Metro Cultural Center Station. Currently, more than 10 intelligent robots have been deployed, covering five areas: cleaning services, inquiry guidance, inspection and security, security inspection guidance, and commercial shopping guidance. This marks a substantial step forward for Tianjin Metro in enabling the development of the intelligent robot industry through scenario openness.

According to Tianjin Daily, when reporters entered the Cultural Center subway station, a variety of intelligent robots of various shapes were on display, resembling a fully functional "robot supergroup." Among them, the security inspection robot is about 1.7 meters tall and can stand at the checkpoint during morning and evening peak passenger flows, actively guiding passengers through the security checks and sharing the load of security checkpoints.

Recently, Tianjin issued the "Action Plan for Innovative Development of Tianjin's Intelligent Robot Industry (2026–2028)," clearly stating that by the end of 2028, the city's intelligent robot industry will form a new dual-driven pattern of "technological innovation + scenario-driven" models. Against this backdrop, Tianjin Rail Transit Group proactively released real operational scenario resources, attracting multiple technology companies and universities to participate, building a "production-university-research-application" collaborative channel at the Cultural Center Station, and jointly carrying out technical breakthroughs, model training, and product iterations.

Jiadu Technology (Tianjin) is one of the participating companies in the pilot station construction. Mao Qing, head of its robot R&D team, stated that the Metro Cultural Center Station provides real-world offline real-world scenarios for various robot products, allowing for thorough testing, operation, and algorithm optimization training. Meanwhile, Tianjin Rail Transit Group has completed intelligent adaptation upgrades for station side gates, turnstiles, elevators, and other facilities, providing hardware support for robots to pass independently and for routine on-site operations.

Mao Qing stated that based on the practical experience accumulated by the test station, the company will jointly carry out multi-scenario robot application R&D with Tianjin Rail Transit Group, continuously refining the business logic and interaction experience of the robots. In the future, these intelligent robots will be mass-produced in Tianjin Metro, and will be gradually promoted to more cities nationwide.

Focusing on the practical application of robots in stations, Zhao Huan, deputy leader of the Tianjin Rail Transit Group Robotics Task Force, introduced that the group has planned a "three-step" path: Step one, build a real-scene application test station, conduct scenario adaptation verification of single-function robots, and simultaneously develop multifunctional robots to achieve "one machine with multiple functions and time-sharing use"; Step two: Build scenario-based demonstration stations, integrate robots into all subway business segments, and optimize work processes and job assignments; Step three: Achieve full-process intelligent operation, connect robots with existing equipment system interfaces, and build a new form of efficient and intelligent rail transit operations.

From cleaning and inquiries to security inspection guidance and security inspections, intelligent robots are moving from display applications to real operational scenarios. The construction of this real-scene application pilot station not only helps improve station service and operation efficiency but also provides verifiable, iterative, and scalable urban rail transit application scenarios for the intelligent robotics industry.

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