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• DEVELOPMENT OF AN AUTONOMOUS ROBOT TO PERFORM THE FUNCTIONS OF A SALES - CONSULTANT IN RETAIL NETWORKS

  М.А. Khapova , К. C. Bzhikhatlov , L.B. Kokova

  262-272

  2025-10-01

  Abstract ▼

  The active increase in the share of large chain stores in the retail sector increases the demand for employees of such networks. At the same time, with the growth of the turnover of large stores, the requirements for timely display of goods on the shelves also grow. According to the estimates of the retailers themselves, losses from incorrect or untimely display of goods can reach 5% of the total annual turnover. Given the significant turnover of large chain retailers and noticeable staff turnover, the problem of automation of product display in chain stores can be considered relevant. This paper presents the results of the development of an autonomous robotic system that can ensure uninterrupted control of filling of shelves and timely display of goods. Based on the results of a survey of representatives of large retail chains, the requirements for an autonomous system for monitoring and placing goods in a store are determined.
  In particular, the requirements for the capabilities of an intelligent robot control system, design features and hardware implementation of robots, requirements for the capabilities of the system of interaction with employees and customers in the store and preferences for the appearance and user interface of the robot are determined. Based on the identified requirements of retailers, a prototype of an autonomous robot for work in sales areas has been developed. The basis of the robot is a transport module with two motor wheels and a pair of steering wheels, on which an anthropomorphic unit with two manipulators is installed. The manipulators are made in the form of human hands and have a full set of necessary degrees of freedom. In addition, the article presents the architecture of the autonomous robot control system.
  The robot is controlled by an intelligent decision-making and control system based on a multi-agent neurocognitive architecture that simulates the processes occurring in the human brain. The design and mechatronic part of the robot were tested in real conditions: in the sales areas of a retail store in Nalchik in the presence of sales consultants and customers. In the future, work is planned to refine and train the intelligent decision-making system.