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研究神经网络技术在弧焊机器人焊缝跟踪过程中的应用，通过神经网络在笛卡尔空间轨迹的补偿作用，确定出基于笛卡尔空间参考轨迹控制的机器人焊缝跟踪神经网络控制器。与传统的关节计算力矩法相比，所设计的神经网络控制器具有良好的控制特性及较强的鲁棒性，焊缝跟踪精度得到了显著的提高。
The application of neural network technology in welding seam tracking of arc welding robots is studied. By using the compensation function of neural network in Cartesian space trajectory, the robot seam tracking neural network controller based on Cartesian space reference trajectory control is determined. Compared with the traditional joint moment of force method, the designed neural network controller has good control characteristics and strong robustness, and the weld seam tracking accuracy has been significantly improved.