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
Link To Document :
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