Path Planning of Manipulator Based on Improved Informed-RRT* Algorithm

To solve the problems of low efficiency and slow convergence of traditional RRT algorithm and RRT* algorithms, an improved informed-RRT* algorithm is proposed in this paper. The algorithm keeps the probability completeness and path optimality of RRT algorithm, improves the speed of iterative convergence and the quality of the generated path. After the final path is obtained, the problem of sharp and burr in the generated trajectory is solved by trajectory smoothing strategy. Finally, the comparison experiment shows that the performance of the proposed algorithm in three-dimensional space is better than RRT* algorithm, and the algorithm is applied to real manipulator, which verifies the feasibility of the algorithm.