What are the differences between autonomous decision-making welding and non-teaching will be introduced in 2023 - Dauphin Smarts

What are the differences between autonomous decision-making welding and non-teaching will be introduced in 2023

2022-12-15

What are the differences between autonomous decision-making welding and non-teaching will be introduced in 2023

Dolphin Intelligence is expected to launch a new product by the end of 2023 - an autonomous decision-making welding robot. The concept and function of autonomous decision-making welding robot, as well as the difference between it and the non-teaching system introduced at this stage, will be explained in the following sections.

The welding robot world "driverless"

Autonomous decision-making welding robots are equivalent to L5 (fully automated) : no human attention is required, thus eliminating the "dynamic driving task." There's not even a steering wheel or accelerator/brake pedals. No geofencing;) The unmanned drive can autonomously make the machine behavior with the real-time changes of the welding seam and the environment, so that the welding can be truly unaccompanied.

The difference between autonomous decision welding and no teaching

Teaching free intelligent welding robot is a new product launched by our company in September 2022, of which the core teaching free system has won the favor of many customers. And we expect that the autonomous decision-making welding system launched in 2023 will be more intelligent than non-teaching.
On the basis of no teaching, the temporary processing ability of the actual weld is increased, including the detection of the size of the weld groove and real-time modification of the welding process, as well as the adjustment of the details of the voltage and current of the welding machine according to the actual situation of the workpiece and swing welding and vertical welding.
Based on the traditional non-teaching and fixed welding process, an autonomous AI adaptive process is added to make the welding quality higher and more stable;
The manual intervention of the operator is further reduced, the control steps of the robot are reduced, and the system is more intelligent;

Back to news Contact