Abstract:Based on ant colony algorithm convergence speed is slow, easy falling into the most superior problem, an improved fireworks - mixed ant colony algorithm, solving the problem of agricultural robot path planning under static environment, first against the basic interaction mechanism of fireworks and selection strategy to make improvements, to put forward the strategies of the blast combined with migration and density peak sparks, detection concept, improve the ability in the fireworks algorithm to find the optimal solution, and then improve the fireworks in the conversion algorithm of the shortest path for the pheromone of ant colony algorithm to strengthen value, thereby avoiding ant colony search blindly, finally using b-spline interpolation method to curve fitting, and generate a smooth path,Conducive to the smooth progress of the robot.The simulation results show that ifwa-aco algorithm can quickly plan the optimal path of the robot, reduce the energy consumption of the agricultural robot and improve the working efficiency.