Based on the intelligent algorithm, this paper takes the research and development of the virtual simulation environment of the lunar surface roaming robot in the moon exploration project as the practical application background and takes the quadruped robot as the research object. First, the inverse kinematics analysis is carried out by the analytical method. Then, the Walk gait and Trot gait of the quadrupedal robot are studied, and the foot end trajectory curve is derived by using a pendulum line, and the joint simulation of Matlab and CoppeliaSim shows that the Walk gait and Trot gait can be realized smoothly. Finally, the fusion of the genetic algorithm and ant colony algorithm is realized by using the genetic algorithm to generate the optimal solution first and converting it to the initial pheromone value of the ant colony algorithm. Matlab simulation experiments show that the fusion algorithm is better overall in path planning and has good comprehensive performance, which is suitable for quadrupedal robots walking.