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Memorias de investigación
Communications at congresses:
Optimization of Aerial Surveys using an Algorithm Inspired in Musicians Improvisation
Year:2013
Research Areas
  • Robotics
Information
Abstract
This paper tackles the problem of computing safe coverage trajectories for a fleet of unmanned aerial vehicles (UAVs) on large areas. The solution proposed is based on a evolutionary optimization algorithm denoted as Harmony Search (HS). The resulting algorithm has been entitled as m-CPP (Meta-heuristic Coverage Path Planning) algorithm. Results obtained by applying this approach have been compared with former heuristic-based methods. Finally, safety restrictions have been applied to allow near optimal and safe coverage flights cooperatively. Complete safe coverage missions have been planned in order to be performed by teams of quad-rotors by applying the proposed approach
International
Si
Congress
23rd International Conference on Automated Planning and Scheduling (ICAPS'13), Proceedings of the 1st Workshop on Planning and Robotics (PlanRob)
960
Place
Roma
Reviewers
Si
ISBN/ISSN
978-1-57735-609-7
Start Date
10/06/2013
End Date
10/06/2013
From page
72
To page
78
ICAPS'13
Participants
  • Autor: Joao Ricardo Pereira Valente (UPM)
  • Autor: Antonio Barrientos Cruz (UPM)
  • Autor: Jaime del Cerro Giner (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Robótica y Cibernética
  • Departamento: Automática, Ingeniería Electrónica e Informática Industrial
  • Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC
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