Two agents with GBFS algorithms working cooperatively to get a shortest path


Authors

DOI:

https://doi.org/10.22517/23447214.24341

Keywords:

Autonomous robots, navigation, particle tracking, path planning, teamwork.

Abstract

This study is carried out in order to verify if the implementation of the concept of cooperative work among two agents, that use path planners A* to obtain the shortest path (previous work of the authors) is also valid when the cooperative strategy is applied using another path planner such as the so-called GBFS (Greedy Best First Search). In this sense, this paper shows a path planning strategy that combines the capabilities of two Agents each one with its own path planner GBFS (slightly different from each other) in order to obtain the shortest path. The comparisons between paths are made by analyzing the behavior and results obtained from the agents operating in different forms: (1) Working individually; (2) Working as a team (cooperating and exchanging information). The results show that in all analyzed situations are obtained shortest traveled distances when the path planners work as a cooperative team.

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Author Biographies

José Andrés Chaves Osorio, Universidad Tecnológica de Pereira

Departamento de Física, Docente e Investigador.

Juan Bernardo Gómez Mendoza, Universidad Nacional de Colombia

Facultad de Ingeniería y Arquitectura-Docente

Edward Andrés González Rios, SENA

Tecnoacademia Manizales, centro de automatización industrial – Sena, Instructor

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Published

2020-09-30

How to Cite

Chaves Osorio, J. A., Gómez Mendoza, J. B., & González Rios, E. A. (2020). Two agents with GBFS algorithms working cooperatively to get a shortest path. Scientia Et Technica, 25(3), 448–454. https://doi.org/10.22517/23447214.24341

Issue

Vol. 25 No. 3 (2020)

Section

Sistemas y Computación

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