DocumentCode
1112765
Title
UAV Task Assignment
Author
Bethke, Brett ; VALENTI, MARIO ; How, Jonathan P.
Author_Institution
MIT, Cambridge
Volume
15
Issue
1
fYear
2008
fDate
3/1/2008 12:00:00 AM
Firstpage
39
Lastpage
44
Abstract
Unmanned aerial vehicles (UAVs) are becoming vital warfare and homeland security platforms because they have the potential to significantly reduce cost and risk to human life while amplifying warfighter and first-responder capabilities. This article builds on the very active area of planning and control for autonomous multiagent systems. This work represents a step toward enabling robust decision making for distributed autonomous UAVs by improving the team´s operational reliability and capabilities through better system self-awareness and adaptive mission planning. The health-aware task assignment algorithm developed in this article was demonstrated to be effective both in simulation and flight experiments.
Keywords
aerospace control; decision making; mobile robots; monitoring; multi-robot systems; path planning; remotely operated vehicles; UAV task assignment; adaptive mission planning; autonomous multiagent system control; autonomous multiagent system planning; decision making; distributed autonomous UAV; health-aware task assignment; homeland security platforms; system self-awareness; unmanned aerial vehicles; warfare security platforms; Adaptive systems; Aerospace simulation; Control systems; Costs; Decision making; Humans; Multiagent systems; Robustness; Terrorism; Unmanned aerial vehicles;
fLanguage
English
Journal_Title
Robotics & Automation Magazine, IEEE
Publisher
ieee
ISSN
1070-9932
Type
jour
DOI
10.1109/M-RA.2007.914931
Filename
4476327
Link To Document