Smart Electromechanical Systems: The Central Nervous System

Gorodetskiy, Andrey E.; Kurbanov, Vugar G.

doi:10.1007/978-3-319-53327-8

Cited by 22 publications

(1 citation statement)

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“…The problem of optimizing the interaction of a group of robots in the performance of a joint task is now becoming increasingly complex, requiring the complexity and intellectuality of technical robot control systems to be constantly expanded to ensure the continued expansion of the scope of such robotic systems (RTS). In complex RTS, built on the basis of intelligent electromechanical systems (SEMS) [1], it is necessary to analyze not only the behavior of an individual robot possessing due to the presence of the central nervous system (CNS) [2] appropriate behavior, but also the behavior of an interacting group of robots whose functions are closely interrelated in the so-called "small group". This group can be vehicles that carry out coordinated movements, a group of robots of collectors performing joint operations, etc.…”

Section: Introductionmentioning

confidence: 99%

Estimates of the Group Intelligence of Robots in Robotic Systems

Gorodetskiy

Tarasova

2018

Studies in Systems, Decision and Control

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Problem statement: the questions of group interaction of intelligent Electromechanical systems (SENS) in RoboTic Systems (RTS) play an important role in the analysis of RTS capabilities to perform certain tasks. The paper proposes a solution to the problems of group intelligence assessment based on the results of RTS test modeling. This issue occurs if necessary matching the best candidates to the group of RTS from the existing set of modules SEMS, for example, when you want to perform merge/split parts of RTS, the introduction of the group new robot or withdraw the existing or producing other transformation groups SEMS associated with the implementation of technological tasks. Purpose of research: proposed and implemented an approach to solving the problem of test modeling of a group of robots using the apparatus of fuzzy mathematical modeling. The coefficients of vector estimation of group intelligence are developed. As the components of vector estimation, the coefficient of intellectual abilities, the creativity coefficient and the coefficient of motivational inclusion of the j-th group of robots are proposed. Results: The structure of a mathematical model for testing a group of robots is developed, including dynamic models of both interacting robots and the environment. The formulas for computing the components of the vector estimation of the group intelligence of RTS are proposed. Practical significance: the proposed solution of RTS test modeling provides high functionality of models of robot groups, taking into account the SEMS ideology, allowing to perform group intelligence estimation by computer modeling taking into account the so-called "psychological" features of the group members.

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Section: Introductionmentioning

confidence: 99%