The development of manufacturing has increasingly highlighted the importance of path planning in laser cutting technology. Traditional laser cutting path planning methods often face problems such as low efficiency and resource waste when dealing with complex and high demand tasks. Design a path planning method for laser cutting collaborative operation under immune algorithm. Selecting the feature points on the closed-loop contour of the parts as a set, transforming the path planning problem into a traveling salesman problem, constructing an objective function for single laser machine cutting path planning, and constructing an objective function for cutting collaborative operation path planning based on the single objective function. Develop path length constraints, material waste rate constraints, and total processing time constraints for the objective function of collaborative task path planning. Design a co evolutionary immune algorithm based on the concept of co evolution, and use this algorithm to solve the objective function of laser cutting collaborative operation path planning. The experimental test results show that the path obtained by the design method avoids intersections and does not pass through the cut area, thus obtaining the optimal path planning solution. Due to the implementation of multi laser collaborative operation path planning, the laser utilization rate has been greatly improved.