Shanghai Electric showcases AI robots and smart factory solutions
Shanghai Electric unveiled its AI-powered robot matrix and smart factory solutions at WAIC 2026. The display included humanoid robots with 41 degrees of freedom and pipe inspection robots with millimeter precision.
Shanghai Electric (SEHK: 02727, SSE: 601727), a manufacturer of high-end equipment, presented its comprehensive portfolio of embodied intelligence robot and AI-native smart factory solutions at the 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026).
Under the theme "AI for All: Smart Squad, Shining Without Limits," the company highlighted its capabilities in embodied AI robots, robot core components, and AI-native smart factory solutions. The showcased offerings spanned complete robot systems, critical parts, industrial software, and smart factory architectures.
"The true value of embodied intelligence lies in understanding real industrial tasks, combining the strength, precision, and stability of machines with human experience and judgment," stated Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.
The company's robotics portfolio addresses five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Notable exhibits included the "SUYUAN" bipedal humanoid robot with 41 degrees of freedom, the "TUOYUAN" wheeled industrial robot, the "Mermaid" bionic wheeled robot, and an autonomous pipe inner-wall chamfering robot capable of ±1mm positioning accuracy.
Shanghai Electric also introduced 51 AI models and agents under its "StarCloud Intelligent Manufacturing" series, covering R&D, production, and maintenance processes. These models enable production optimization, quality inspection, and predictive maintenance, shifting manufacturing systems from experience-driven to data-driven operations. The company also released the "AI-Native Smart Factory Technology White Paper," proposing an architecture for real-time production data optimization.