• DocumentCode
    3176897
  • Title

    Constrained motion planning for multiple vehicles on SE(3)

  • Author

    Saccon, Alessandro ; Aguiar, A. Pedro ; Hausler, Andreas J. ; Hauser, John ; Pascoal, Antonio M.

  • Author_Institution
    LARSyS, Tech. Univ. of Lisbon (UTL), Lisbon, Portugal
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    5637
  • Lastpage
    5642
  • Abstract
    This paper proposes a computational method to solve constrained cooperative motion planning problems for multiple vehicles undergoing translational and rotational motions. The problem is solved by means of the Lie group projection operator approach, a recently developed optimization strategy for solving continuous-time optimal control problems on Lie groups. State constraints (for collision avoidance) are handled by means of a set of barrier functions, turning the optimization approach into an interior point method. A sample computation is shown to demonstrate the effectiveness of the method.
  • Keywords
    Lie groups; autonomous underwater vehicles; collision avoidance; continuous time systems; multi-robot systems; optimal control; optimisation; state-space methods; AUV; Lie group projection operator approach; SE(3); autonomous underwater vehicles; barrier functions; collision avoidance; computational method; constrained cooperative motion planning problems; continuous-time optimal control problems; interior point method; multiple vehicles; optimization strategy; rotational motions; state constraints; translational motions; Algebra; Optimal control; Optimization; Planning; Trajectory; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426697
  • Filename
    6426697