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Permanent URI for this communityhttps://hdl.handle.net/20.500.12585/1
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Browsing Investigaciones by Author "Acevedo, Oscar"
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Item A Software for Simulating Robot Swarm Aggregation(2022) Acevedo, Oscar; Rios, Yuliana Y.; Duque, Jorge; Gomez, Eduardo; García, LuisSwarm robotics is a topic that focuses on studying a system composed of many homogeneous robots that collaborate to achieve a common goal. Swarm robotics presents several exciting challenges for engineers, with the development of controllers being one of the most critical. For this purpose, models and simulators have been developed to allow designers to test their designs. This paper presents a swarm robot simulator, made in Matlab, whose objective is to study robot aggregation, which is considered an essential swarm behavior. Simulations and results of a classical algorithm for environment-guided aggregation are presented to determine its ability to aggregate robots and how its efficiency is affected by environmental variations. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Item A study of the Beeclust algorithm for robot swarm aggregation(2022) Acevedo, Oscar; Rios, Yuliana Y.; Garcia, Luis; Narvaez, DayanaSwarm robotics is a topic that has gained momentum in recent years thanks to its possibility to solve different engineering problems. Many robots are expected to work collaboratively to solve a given task. One of the main challenges is the design of the robot controller since it must be defined at the robot level to accomplish a task at the swarm level. The characteristics and properties of natural swarms have been studied to solve this problem. From these studies, basic behaviors have been defined, one of them being aggregation. This work explores the classical aggregation algorithm known as Beeclust. The Beeclust algorithm was implemented in MATLAB. Test were performed to determine its effectiveness in forming aggregates and the factors that affect its efficiency. © 2022 IEEE.