Evaluation of mission planning strategies of a robotic aerial vehicle for the AIRC international competition

Villalba Coronado, Carlos (2015). Evaluation of mission planning strategies of a robotic aerial vehicle for the AIRC international competition. Thesis (Master thesis), E.T.S. de Ingenieros Informáticos (UPM).

Description

Title: Evaluation of mission planning strategies of a robotic aerial vehicle for the AIRC international competition
Author/s:
  • Villalba Coronado, Carlos
Contributor/s:
  • Molina González, Martín
Item Type: Thesis (Master thesis)
Masters title: Software y Sistemas
Date: May 2015
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The International Aerial Robotics Competition (IARC) is an important event where teams from universities design flying autonomous vehicles to overcome the last challenges in the field. The goal of the Seventh Mission proposed by the IARC is to guide several mobile ground robots to a target area. The scenario is complex and not determinist due to the random behavior of the ground robots movement. The UAV must select efficient strategies to complete the mission. The goal of this work has been evaluating different alternative mission planning strategies of a UAV for this competition. The Mission Planner component is in charge of taking the UAV decisions. Different strategies have been developed and evaluated for the component, achieving a better performance Mission Planner and valuable knowledge about the mission. For this purpose, it was necessary to develop a simulator to evaluate the different strategies. The simulator was built as an improvement of an existing previous version.

More information

Item ID: 37226
DC Identifier: http://oa.upm.es/37226/
OAI Identifier: oai:oa.upm.es:37226
Deposited by: Biblioteca Facultad de Informatica
Deposited on: 26 Jul 2015 10:04
Last Modified: 14 Oct 2015 16:45
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