Research on Path Planning Method for Power Tower Climbing Robot Based on Dynamic Programming

In order to solve the problems of high energy consumption and large path planning errors in traditional path planning methods for electric power tower climbing robots, a path planning method based on dynamic programming is proposed. Firstly, a detailed introduction was given to the principle of dynamic programming, including its optimality principle and state transition equation. A mathematical model for path planning was constructed based on the characteristics of electric power tower climbing robots, and the corresponding objective functions and constraints were clarified. After defining the state space and action space, a recursive relationship and boundary conditions were established to optimize the path of the climbing robot. Through experimental verification, this method has demonstrated excellent performance in path length, time efficiency, energy consumption, and stability. These results indicate that the path planning method based on dynamic programming can effectively improve the overall performance of the power tower climbing robot, providing a new solution for the automated maintenance of power towers.