Design of a Strategy for Planning of Trajectories with Avoidance of Obstacles of a Quadrotor Drone Used in the Characterization of Geological

R. L. Mogollon Mendoza, F. P. Montes Monterrey, C. E. Moncada Guayazan, S. Roa Prada

Research output: Book / Book Chapter / ReportResearch Bookspeer-review

Abstract

This article focuses on the development of an algorithm for a Quadrotor-type Drone that allows it to recognize the environment and move around in it by avoiding obstacles. This article covers the simulation phase that takes place in the MATLAB software, where algorithms for planting trajectories in known static environments were created in two stages: an artificial force field (APF) model is created for each element in the environment using sigmoid functions, the trajectories are subsequently calculated using gradient descent based strategies. Two strategies were developed, the first based on mobile points that interconnect the drone with the goal, where later each point moves towards areas free from the influence of obstacles, following the potential field, which makes paths free of obstacles. The second is based on the use of the concept of safe zones, which is used as a criterion to update the position of the points.

Original languageEnglish
Title of host publication2020 9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Conference Proceedings
EditorsLuz Alejandra Magre Colorado
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194967
DOIs
StatePublished - 4 Nov 2020
Event9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Cartagena de Indias, Colombia
Duration: 4 Nov 20206 Nov 2020

Publication series

Name2020 9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Conference Proceedings

Conference

Conference9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020
Country/TerritoryColombia
CityCartagena de Indias
Period4/11/206/11/20

Keywords

  • Trajectory
  • obstacles
  • quadrotor and environment

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