Research on Trajectory Planning Algorithm for Intelligence Robot Cutting-Grinding

Under the guidance of the concept of 'machine intelligence', in order to complete the robot intelligent cutting and polishing process while increasing its teaching-free performance, this article is based on the computer.Net framework and according to the actual cutting and grinding needs of the processed parts, constructs an intelligent robot cutting and grinding system, completing a series of functions such as system construction, graphic control, virtual controller interaction, online monitoring, etc; A-manually selectable cutting and grinding method, with the system automatically generating the cutting and polishing trajectory. This paper studies the construction framework, trajectory algorithm and kinematics analysis, realizes the automatic generation and optimization of intelligent cutting and grinding trajectory in the virtual workstation, and automatically adjusts the robot motion posture, speed and acceleration under different trajectories. The experimental simulation results show that the intelligent robot cutting and polishing system can complete the required functions in a teaching free environment, reducing the difficulty of operator development and debugging, while greatly increasing the universality of cutting and polishing parts and the autonomy of trajectory selection.