Aiming at the problem that the basic wolf pack algorithm (WPA) converges too slowly in robotic arm path planning and easily falls into local optimality, a robotic arm path planning algorithm based on the improved WPA algorithm is proposed. The Tent initialization method using chaotic mapping improves the uniformity and ergodic characteristics of the initial population; the Levi flight strategy and the adaptive wandering behavior of changing directions are added in the wandering stage to improve the global optimization capability; the summoning and siege behavior of the WPA algorithm are Fixed step size replaces adaptive step size. comparing the same three-dimensional scene, a robot arm path planning simulation experiment of the improved WPA algorithm before and after was performed. The improved WPA The algorithm running time and path length were reduced by 21.44% and 16.21% respectively, proving that the improved WPA algorithm has better performance in convergence speed and global search capabilities when applied to robotic arm path planning.