• DocumentCode
    2950955
  • Title

    Bio-inspired trajectory generation for UAV perching

  • Author

    Zhen Zhang ; Pu Xie ; Ou Ma

  • Author_Institution
    Sch. of Mechatron. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2013
  • fDate
    9-12 July 2013
  • Firstpage
    997
  • Lastpage
    1002
  • Abstract
    This paper represents a bio-inspired trajectory generation (path planning) method for UAV perching. The method is based on the tau theory which was established from studying the natural motion behaviors when animals (including humans) approaching and catching a fixed or moving object. In our research, the tau theory is applied to the trajectory generation problem of a UAV perching on a target object. Two perching scenarios have been studied, one from a flight state (with non-zero initial velocity) and one from a hovering state (with zero initial velocity). Three strategies, namely, perching with a straight-line trajectory, perching with pitch angle coupling, and perching with pitch/yaw angular coupling, are demonstrated with each of the two scenarios. The simulation results show that the resulting flight trajectories meet all the desired requirements for a rotary UAV to perch on an object.
  • Keywords
    autonomous aerial vehicles; path planning; bio-inspired trajectory generation method; flight state; flight trajectories; hovering state; natural motion behaviors; path planning method; pitch-yaw angular coupling; rotary UAV perching; straight-line trajectory; target object; tau theory; Acceleration; Birds; Couplings; Educational institutions; Gravity; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
  • Conference_Location
    Wollongong, NSW
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-5319-9
  • Type

    conf

  • DOI
    10.1109/AIM.2013.6584224
  • Filename
    6584224