The invention discloses a
robot optimal path
planning method based on an improved angle skid optimization
algorithm, and the method comprises the steps: designing a single-target
optimization problem under a constraint condition based on the angle skid optimization
algorithm, setting a target function as the
shortest distance between a starting point and an end point, and determining the constraint condition; a good
point set strategy is adopted to replace random node initialization distribution, and an adaptive dynamic weight, a dynamic weight, an adaptive coefficient, a
Brownian motion random disturbance parameter and a random walk and adaptive t distribution disturbance strategy of step length adjustment are introduced. A hiding behavior, a blood jetting behavior, an escape behavior, a
skin blackening and brightening behavior and a
melanocyte stimulating
hormone (MSH) rate formula of the
algorithm are optimized respectively, and a planned path is optimized through the improved HLOA algorithm. Compared with the prior art, the method has the advantages that the convergence speed, the optimization precision and the global search capability of the angle exid optimization algorithm in
robot path planning are improved, and the method is suitable for optimal path planning in a complex environment.