Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/686
Title: Multi-Robot System Based on Swarm Intelligence for Optimal Solution Search
Authors: ABABII, Victor 
SUDACEVSCHI, Viorica 
BRANISTE, Rodica 
NISTIRIUC, Ana 
MUNTEANU, Silvia 
BOROZAN, Olesea 
Keywords: Multi-Robot System;Swarm Intelligence;Optimal Solution Search;Radiation Sources;Gradient Field
Issue Date: 2020
Publisher: IEEE
Source: V. Ababii, V. Sudacevschi, R. Braniste, A. Nistiriuc, S. Munteanu and O. Borozan, "Multi-Robot System Based on Swarm Intelligence for Optimal Solution Search," 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey, 2020, pp. 1-5, doi: 10.1109/HORA49412.2020.9152926.
Conference: 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
Abstract: 
This work presents the results of the Multi-Robot System designing that works on the basis of Swarm Intelligence models and is used to search for optimal solutions. The process of searching for optimal solutions is performed based on a field of gradient vectors that can be generated by ionizing radiation sources, radio-electro-magnetic devices, temperature generating sources, etc. The concept of the operation System is based on the distribution in the search space of a multitude of Mobile Robots that form a Mesh network between them. Each Mobile Robot has a set of ultrasonic sensors for excluding the collisions with obstacles, two sensors for identifying the gradient vector of the analyzed field, resources for wireless storage, processing and communication. The direction of the Mobile Robot movement is determined by the rotational speed of two DC motors which is calculated based on the models of Artificial Neural Networks. Gradient vectors generated by all Mobile Robots in the system structure are used to calculate the movement direction.
Description: 
26-28 June 2020, Ankara, Turkey, Turkey
URI: http://cris.utm.md/handle/5014/686
ISBN: 978-1-7281-9352-6
DOI: 10.1109/HORA49412.2020.9152926
Appears in Collections:Proceedings Papers

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