Unmanned robotic welding machine

While robotic welding once seemed like a promising solution, robotic arc welding on the factory floor is becoming too unpredictable and too risky for today's robots and their vision systems.

Laser welding and laser cutting are completely changing production technology .

Unmanned robotic welding machine

In the welding process, the so-called tight seam and cut are more easily achieved with machinery than with other outdated methods.

Minimal emissions and dust generation during the production process mean that machinery is operating efficiently and that robotics creates an optimal environment.

Robotic laser welding (RLW) and robotic laser cutting (RLC) technology has reached a stage of development where it is poised to increase the quality, safety, and efficiency of welding and cutting, while further reducing costs and time.

However, it should be understood that if RLW and RLC systems do not have the appropriate software to control them, the benefits we have listed and the fascinating potential of the welding machine will never be realized. It is necessary to test the capabilities of smart robotic vision in practice and implement it in professional activities. The software for controlling robotics that exists so far is often simply not up to the task.

Unmanned robotic welding machine

The best solution is considered to be Energid's Actin SDK, an adaptive robotic control software that allows for real-time adaptation of welding and cutting paths for RLW and RLC.

Initially, it was developed for clients such as NASA, Areva, Mitsubishi, and the US National Science Foundation. Its goal was to perform powerful and complex operations in real time.

However, this adaptive robotic control software is also intuitively programmable, with an easy-to-navigate interface.

Its powerful robotic features include adaptation to dynamic materials and workspaces, the ability to avoid collisions and perform agile manipulation, sensitivity to object speed and orientation, real-time workspace simulation, and precision optimization.

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