Methodology Design of Computational Experiments Founded on Design-based Science Case Study: Motion Models

Authors

  • John Petearson Anzola Fundación Universitaria Los Libertadores https://orcid.org/0000-0001-8503-5410
  • Helien Parra Fundación Universitaria Los Libertadores
  • Andres Camilo Jimenez Fundación Universitaria Los Libertadores

DOI:

https://doi.org/10.3991/ijoe.v12i07.5850

Keywords:

Design-based science, motion models, NetLogo, agent-based system

Abstract


In this article are compared random waypoint motion models and Manhattan against a model of semicircular motion, analyzing the total distance traveled, the average total energy of robots’ agents and convergence time at 80% of exploration of the navigation area using as design methodology, design-based science. Agent's robots involved in the experiment show no cognitive and cooperative parameter, therefore, the results obtained in this article will allow extracting temporal and energy characteristics that allows exploring as much area in the shortest possible time, in order to get heuristics for future work in SLAM tasks

Author Biographies

John Petearson Anzola, Fundación Universitaria Los Libertadores

Faculty of Engineering - Professor Electronic Engineering

Helien Parra, Fundación Universitaria Los Libertadores

Faculty of Engineering - Professor Industrial Engineering

Andres Camilo Jimenez, Fundación Universitaria Los Libertadores

Faculty of Engineering - Professor Electronic Engineering

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Published

2016-07-29

How to Cite

Anzola, J. P., Parra, H., & Jimenez, A. C. (2016). Methodology Design of Computational Experiments Founded on Design-based Science Case Study: Motion Models. International Journal of Online and Biomedical Engineering (iJOE), 12(07), pp. 66–69. https://doi.org/10.3991/ijoe.v12i07.5850

Issue

Vol. 12 No. 07 (2016)

Section

Short Papers

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