• DocumentCode
    3115539
  • Title

    Autonomic Agents for Real Time UAV Mission Planning

  • Author

    Pascarella, Domenico ; Venticinque, S. ; Aversa, Rocco

  • Author_Institution
    Soft Comput. Lab., CIRA (Italian Aerosp. Res. Centre), Capua, Italy
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    410
  • Lastpage
    415
  • Abstract
    This paper investigates agent-based modelling and design of a real time mission planning module for an Unmanned Aerial Vehicle (UAV). Agents can act on behalf of remote human operators, who impose mission objectives, performing autonomous or supervised behaviours. The planning module is in charge to deliberate the strategic tasks to achieve mission objectives and to satisfy environment constraints (area of operations, aircraft performances, etc.). We define a multi-objective model for implementing a goal-directed decision making support to the planning module. A formal model is used to infer from requirements real time constraints, by which mission planning is dynamically scheduled. Preliminary development and performance evaluation using embedded devices are discussed.
  • Keywords
    autonomous aerial vehicles; control engineering computing; decision making; decision support systems; mobile robots; multi-agent systems; planning; agent-based modelling; autonomic agents; autonomous behaviour; embedded devices; formal model; goal-directed decision making support; multiobjective model; performance evaluation; real time UAV mission planning; remote human operators; supervised behaviour; unmanned aerial vehicle; Automata; Fuels; Indexes; Planning; Real-time systems; Surveillance; Vehicles; UAV; autonomic agents; mission planning; persistent surveillance; real time; timed automata;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence and Computing, 2013 IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC)
  • Conference_Location
    Vietri sul Mere
  • Print_ISBN
    978-1-4799-2481-3
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2013.34
  • Filename
    6726237