The Principle of Modularity in the Architecture of Robotic Systems for Their Adaptation to Solvable Tasks
Higher Professional Educationin Theory and Practice 2020
Vladimirs Gudakovskis, Viktors Gutakovskis, Andrejs Krūmiņš, Mihails Stepanovs

During the increacement in tasks and work areas for the robotic systems, using the principle of modularity in the architecture of these robotic systems (RS) can significantly expand the possibilities of their application in all spheres of human activity, and most importantly, apply these RS in hazardous environment.Robotic systems of this type differ from RS with a basic platform using modules of a higher technical level. These modules can self-assemble, provided for interchangeability, form a common electrical and information network, receive and transmit data. Module contains a power supply, a controller, a set of sensors, actuators, wireless communications, etc.The design of such modules allows the system to be assembled into structures of any shape and scale, depending on the problem being solved.The modules are unified with developed detachable coupling devices for interconnecting, with the ability to connect and disconnect to ensure the restructuring of the structure of the RSMT directly in the process.The components (modules) of robotic system may be rearranged if necessary, the operator or the system itself will be able to calculate (in the case of automated RS), as well as how you want to reconfigure itself to perform a task in view of the environment, as well as at changing the task. A robotic system of such architecture is completely capable of changing its performance, since a RS consisting of modules and acting as a single unit can detach and assemble in another form suitable for solving the problem, modules can separate from base unit and change position in the new super structure.


Atslēgas vārdi
Robot, robotic systems, modular type.

Gutakovskis, V., Gudakovskis, V., Stepanovs, M., Krūmiņš, A. The Principle of Modularity in the Architecture of Robotic Systems for Their Adaptation to Solvable Tasks. Higher Professional Educationin Theory and Practice, 2020, Vol. 17, 65.-72.lpp. ISSN 2255-8497.

Publikācijas valoda
English (en)
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