Intelligent Mobile Robot Control in Linguistic Evaluation of Solution Options

The development of modern intelligent control systems and robotics has led to the automation of production processes in completely new applications. In particular, mobile robots are used not only to solve problems where there is a threat to human life and health, but also in normal conditions to perform heavy or long monotonous work, such as picking berries. The article deals with the approach to solving the task of intelligent agricultural mobile robot control in the linguistic evaluation of the usage options for picking berries. The solution of this task is based on the establishment of the order ratio on fuzzy estimates, which is determined through probabilistic estimates for their clear equivalents. As a solution, the variant with the lowest rank from the obtained ranked series of possible solutions is chosen. The article presents the results of applying the developed method for solving the task of agricultural mobile robot control for picking strawberry in the climatic conditions of Central Russia.