The invention relates to a path planning method based on a triangular inner center guided RRT algorithm. In order to overcome the defects of an RRT algorithm and avoid the risk of local minimum causedby the fact that a target point appears in a random point at a certain probability, the invention provides a method for guiding a random tree by utilizing the inner center of a triangle. Three vertexes of a triangle are formed by a random point generated by a random function, a point closest to the random point in a random tree and a target point, then an inner center coordinate of the triangle is calculated, and the inner center coordinate is used as a growth direction of the random tree; in addition, under a certain cycle index, the sampling mode is adjusted by recording the number of timesof using the inner core guidance and the growth condition of the random tree. Therefore, not only is the growth of the random tree guided, but also the local minimum risk is effectively avoided. According to the method, the planning efficiency is improved, the time required for planning the path is shorter, the number of iterations is smaller, and the path is shorter.