One Step Further on the Global Stage | 3Srobotics Makes Its North American Debut at FABTECH US 2026

LAS VEGAS, Oct. 23, 2026 /PRNewswire/ -- In less than a year, the company has completed three funding rounds, with its latest raising tens of millions of US dollars. The continued investor interest reflects the rapid global expansion of a Chinese intelligent welding robotics company.

FABTECH 2026 opened on October 21 at the Las Vegas Convention Center, bringing together global leaders in metal fabrication, welding, and manufacturing automation.

At Booth S39072, South Hall, Level 2, 3Srobotics made its overseas debut, showcasing its self-developed Physical AI technology and embodied intelligent welding solutions, marking a key step in its global expansion.

As a leading North American event for metal fabrication and welding, FABTECH showcases advanced technologies, innovative products, and industry resources. It provides a platform for companies to demonstrate capabilities, understand market needs, and expand international partnerships. For 3Srobotics, this debut marks more than its first overseas exhibition.

As manufacturing demands greater flexibility and automation, traditional robots relying on manual teaching and fixed programs struggle with complex, small-batch production in shipbuilding, steel structures, and heavy equipment. 3Srobotics focuses on enabling robots to perceive, decide, and act autonomously.

Since its founding in 2020, 3Srobotics has developed integrated intelligent welding solutions combining robotic hardware, AI vision, and welding systems. Its overseas debut showcases its innovations and advances global partnerships in Physical AI.

From executing movements to understanding tasks, 3Srobotics continues to advance robot autonomy through real-world industrial applications:

The first generation of general-purpose industrial robots established the foundation for automation through precise control.

The second generation of embodied intelligent welding robots integrates AI vision and intelligent welding systems, enabling autonomous perception, decision-making, and execution.

The third generation adds mobility, extending intelligent welding beyond fixed workstations to more dynamic industrial environments.

The three generations mark advances in robot autonomy and operational capabilities. At FABTECH 2026, 3Srobotics unveiled its 3-in-1 Embodied Intelligent Welding System, integrating robotic hardware, AI vision, and intelligent welding technology to bring Physical AI into real-world manufacturing.

Powered by its in-house Arclys intelligent welding system, the solution integrates robotic hardware, AI vision, and welding processes into a closed loop of autonomous perception, decision-making, and execution.

• Eye: Uses a 3D vision camera to identify workpieces and weld features autonomously.
• Brain: Uses AI algorithms and welding process data to autonomously plan welding paths and select process parameters.
• Hand: Uses a multi-axis robotic arm for more flexible and autonomous welding operations.

For 3Srobotics, Physical AI goes beyond algorithms and models. It turns autonomous decision-making into measurable, deployable productivity in real-world manufacturing.

The global shift toward intelligent manufacturing is creating new opportunities for Chinese companies. As demand for flexible production, automation, and high-quality welding grows, 3Srobotics is accelerating its global expansion, building on its industrial expertise in China. Its debut at FABTECH 2026 marks a key step in this strategy.

3Srobotics' overseas debut marks a key step in its global expansion. The company will continue advancing Physical AI, developing industry-specific solutions, and partnering globally to bring intelligent welding to more industrial applications. Powered by Chinese innovation, built for the world.

FABTECH 2026 is still underway. We welcome you to visit 3Srobotics at the Las Vegas Convention Center, Las Vegas, USA. Find us at South Hall, Level 2 | Booth S39072. We look forward to meeting you.

SOURCE 3Srobotics