Event
Chenjing Technology's Physical AI Inspection Solution for Steel Plants Deployed at Multiple Steel Mills
2 reports · 2 sources
At the 2026 Unitree Technology Partner Ecosystem Conference, Chenjing Technology presented a physical AI inspection solution for the steel industry. Built on general-purpose quadruped robots, it enables autonomous navigation and obstacle avoidance, equipment data collection, and hazard identification and early warning, replacing high-risk, repetitive manual inspections. The solution has already been deployed at multiple steel mills, continuously validating in complex plant environments the feasibility, in industrial settings, of aligning models with real machines. At the conference, Unitree Technology founder Wang Xingxing stated that aligning models with real machines is a core challenge of embodied intelligence.
Report timeline
- DeepMirror unveils full-stack physical AI inspection solution for steel industry at Unitree ecosystem conference
DeepMirror released a full-stack physical AI solution for the steel industry at the 2026 Unitree Technology Partner Ecosystem Conference held in Hangzhou on October 22. Using Unitree quadruped robot dogs as the carrier and paired with its self-developed Insight series spatial intelligence cameras, the Navcore spatial intelligence brain, and a task management platform, the solution enables a complete inspection chain covering pure vision positioning, autonomous navigation, dynamic obstacle avoidance, equipment detection, and data archiving. The solution has been deployed at multiple steel enterprises including Xiangtan Iron and Steel and Jinnan Iron and Steel, has entered a phase of regular on-site operation, and is planned for reuse in scenarios such as power cable tunnels and chemical industrial parks.
量子位 ·
- Chenjing Technology's Physical AI Empowers Smart Inspections at Steel Plants
At the 2026 Unitree Technology Partner Ecosystem Conference, Chenjing Technology presented a physical AI inspection solution for the steel industry. Built on general-purpose quadruped robots, it enables autonomous navigation and obstacle avoidance, equipment data collection, and hazard identification and early warning, replacing high-risk, repetitive manual inspections. The solution has been deployed at multiple steel plants, continuously validating the feasibility of model-to-real-robot alignment capability in industrial scenarios within complex plant environments. At the conference, Unitree Technology founder Wang Xingxing stated that aligning models with real robots is a core challenge of embodied intelligence.
36Kr Embodied Intelligence ·