• DocumentCode
    3075803
  • Title

    Assembly planning for the construction of structures with multiple UAS equipped with robotic arms

  • Author

    Munoz-Morera, Jorge ; Maza, Ivan ; Fernandez-Aguera, Carmelo J. ; Caballero, Fernando ; Ollero, Anibal

  • Author_Institution
    Robot. Vision & Control Group, Univ. of Seville, Sevilla, Spain
  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    1049
  • Lastpage
    1058
  • Abstract
    The work presented in this paper is part of the autonomous planning architecture of a team of aerial robots equipped with on-board robotic arms. The mission of the team is the construction of structures in places where the access is difficult by conventional means, which is the scenario considered in the framework of the ARCAS European Project. This paper presents three automatic planners in this context applied in sequence. From the 3D CAD model of the structure, an assembly planner computes the required assembly operations. These operations are assigned to the available aerial robots by a task allocation planner and finally a symbolic planner computes the sequence of actions taking into account the problem and model domains as well as the different preconditions. The paper includes simulation results that show the feasibility of the approach and the properties of the solutions.
  • Keywords
    CAD; autonomous aerial vehicles; manipulators; mobile robots; multi-robot systems; robotic assembly; 3D CAD model; ARCAS European Project; aerial robots; assembly planning; autonomous planning architecture; multiple UAS; on-board robotic arms; symbolic planner; task allocation planner; unmanned aerial systems; Assembly; Computational modeling; Engines; Planning; Resource management; Robots; Solid modeling; Assembly Planning; Multiple UAS; Symbolic Planning; Task Allocation; Task Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4799-6009-5
  • Type

    conf

  • DOI
    10.1109/ICUAS.2015.7152396
  • Filename
    7152396