With the development of offline programming technology, communication technology, virtual reality and artificial intelligence in recent years, vision-based weld seam tracking technology is also developing and progressing. The integration of weld seam tracking technology with new technologies allows for new developments in automated welding technology!

1. Offline programming technology combined with automatic weld seam tracking technology.

Offline programming technology is based on computer graphics and robot kinematics and other technologies to simulate the action of the simulation robot, and generate the robot's motion trajectory and the corresponding robot operation through image-based programming. Compared to traditional programming by staff through robot demonstrators, offline programming can greatly improve work efficiency while keeping the programmer away from harsh or dangerous working environments. In recent years, offline programming technology is developing towards fully automatic, or even more intelligent, offline programming technology combined with automatic weld seam tracking technology can play a part of the role of non-teaching, for the number of welding seams, and the form of change can largely reduce the workload.

2. Welding remote control technology.

Remote control welding refers to the operator away from toxic, deep water, nuclear radiation and flammable and explosive and other dangerous working environment, to achieve remote control of the welding equipment and welding process. Because at present in the field of welding can not fully realize the intelligent welding technology to carry out independent welding, so the need to use remote control remote control of welding equipment to ensure the accuracy and quality of welding. As early as the 1970s, the operator has already completed the welding by remotely operating the actuator to control the movement of the welding gun; the mid-1980s, the application of robotics remote control welding technology research abroad, the earliest application was achieved in 1984 Douglas Point nuclear power plant in Canada, the use of remote control welding successfully repaired the reactor leakage accident. Active visual sensing is the main application of remote control welding sensing methods, with the development of the melt pool monitoring camera, the remote control of the environment and more and more parameters.

3.3D scanning imaging and artificial intelligence technology.

3D vision-based robotic autonomous welding system can be based on structured light camera generated point cloud images and based on artificial intelligence to quickly and independently generate weld trajectory, and then based on the weld trajectory to generate the robot's laser seeking, empty walk and welding trajectory, based on the expert library to add the welding process. The system does not need to input accurate 3D models, no need to teach programming, after the workpiece is scanned in 3D, the robot welding trajectory is generated autonomously, and the work of laser precise position finding and deflection correction is combined together, which is very suitable for solving the common multi-species and small batch product welding in industrial sites autonomously. This type of welding system can effectively improve the overall welding quality and efficiency by eliminating the need for workpiece pattern creation, offline programming, and robot teaching.