• DocumentCode
    158613
  • Title

    The power-tethered UAV-UGV team: A collaborative strategy for navigation in partially-mapped environments

  • Author

    Papachristos, Christos ; Tzes, Anthony

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Patras, Rio, Greece
  • fYear
    2014
  • fDate
    16-19 June 2014
  • Firstpage
    1153
  • Lastpage
    1158
  • Abstract
    This paper presents the concept of an unmanned robotic team, consisting of an aerial and a ground vehicle, and a power-tethering physical link between them, and proposes a strategy that addresses their collaborative navigation problem. The purpose of such a team is to exploit the technical advantages of differentiated unmanned vehicle classes in an approach that benefits the global navigation objective, but with each agent also directly benefiting from the capabilities of the other at an operational level. This conceptual team aims to address the challenge of prolonged autonomous navigation within environments, for which a limited amount of information is available prior to deployment. To this end, the team works its way through the map, while incrementally exploring and rebuilding the actual environment structure, relying on sampling-based trajectory planning techniques and a 2×2-Dimensional decomposed manifold model of its workspace. A challenging environment model is formulated for simulation purposes of the proposed approach, and the respective results are provided.
  • Keywords
    autonomous aerial vehicles; multi-robot systems; path planning; trajectory control; aerial vehicle; autonomous navigation; collaborative navigation problem; collaborative strategy; decomposed manifold model; differentiated unmanned vehicle classes; global navigation objective; ground vehicle; partially-mapped environments; power-tethered UAV-UGV team; power-tethering physical link; sampling-based trajectory planning techniques; unmanned robotic team; Collaboration; Manifolds; Navigation; Robots; Silicon; Trajectory; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (MED), 2014 22nd Mediterranean Conference of
  • Conference_Location
    Palermo
  • Print_ISBN
    978-1-4799-5900-6
  • Type

    conf

  • DOI
    10.1109/MED.2014.6961531
  • Filename
    6961531