Abstract: Aiming at the problem of robot target search in an unknown environment, the search area is divided according to the robot’s ability. The target points will leave pheromones in the local range during their motion, and these pheromones will decrease with time. The robot can detect the size of these pheromones and affect the next robot’s location. In this paper, the active value in the exploration range of robot is selected by improving the biologically inspired neural network. In order to prevent multiple choices of the same point in a continuous time period, a tabu search is introduced, and the same points are selected in the tabu table, which can be effectively prevented from getting into the local best advantage. Compared with the random search method, the method is proved to have a good effect on the target search.

Key words: biologically inspired neural networks, tabu search, pheromone, target search