СРАВНИТЕЛЬНЫЙ АНАЛИЗ СТЕПЕНИ АВТОНОМНОСТИ РОБОТОТЕХНИЧЕСКИХ КОМПЛЕКСОВ

Abstract

Against the background of the ever-increasing needs for robotic complexes with an increased degreeof autonomy and the planned transition to their widespread use, the need for technologies for assessingthe quality and comparing the degree of autonomy of such devices is being actualized. The articledescribes the current state of issues of evaluation and comparison of the degree of autonomy of unmannedcomplexes. Known estimates of the degree of autonomy are given. In the existing classificationsystem, informational and intellectual autonomy are distinguished, which are considered in close connection.Solutions are proposed that complement the known approaches to the general definition of thedegree of autonomy and allow us to form quantitative estimates of the degree of autonomy of robots invarious areas of the national economy. Technologies aimed at automating the receipt of these estimatesare considered. In particular, the possibility of using the tools of fuzzy cognitive maps well mastered bydomestic researchers to determine the degree of autonomy in conditions of incomplete information, theavailability of high-quality information and the influence of the human factor is discussed. The necessityof developing ontologies of subject areas is substantiated in order to ensure the possibility of comparingthe degree of autonomy of various robotic complexes (RC) and their groupings. In general, the approachis indicated, which is aimed at systematizing assessments of the quality and effectiveness of theuse of autonomous robots, and can allow in a short time to prepare a methodological basis for the widespreadintroduction of robotics. One of the positive consequences of such a systematic approach is theunification of formulations and solutions (modules) in the tasks of RC information support, which, inturn, facilitates interaction between users, customers and developers. For RС developers, a systematicapproach makes it possible to reuse successful solutions in various combinations. In conclusion, wishesare expressed to the community of domestic roboticists in joining efforts to unify terminology, describeproblem statements and metrics of intelligence of robotic complexes