Abstract:The truss robot has strong handling ability, convenient operation and high positioning accuracy, and plays an extremely important role in the manufacturing industry. Aiming at the problems of poor operation stability and material redundancy caused by the weight of the truss robot, structural optimization design research is carried out. At present, the finite element simulation of truss robot structure optimization design research has many times of finite element simulation calls, large time loss and low optimization efficiency. In order to solve this problem, after analyzing the relationship between the size, load, stress and deformation of the beam components of the truss robot, a structural optimization design method based on the Kriging model and particle swarm algorithm is proposed, which can effectively reduce the number of calls of finite element simulation. , save time and improve the efficiency of optimized design.