Formulating layered adjustable autonomy for unmanned aerial vehicles
Control theory; Hardware; Machinery; Multi agent systems; Unmanned aerial vehicles (UAV); Vehicles; Adjustable autonomy; Autonomous systems; Autonomous unmanned aerial vehicles; Autonomy levels; Computing machinery; Design/methodology/approach; Multi dimensional; Software and hardwares; Autonomous a...
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2023
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my.uniten.dspace-233912023-05-29T14:40:04Z Formulating layered adjustable autonomy for unmanned aerial vehicles Mostafa S.A. Ahmad M.S. Mustapha A. Mohammed M.A. 37036085800 56036880900 57200530694 57192089894 Control theory; Hardware; Machinery; Multi agent systems; Unmanned aerial vehicles (UAV); Vehicles; Adjustable autonomy; Autonomous systems; Autonomous unmanned aerial vehicles; Autonomy levels; Computing machinery; Design/methodology/approach; Multi dimensional; Software and hardwares; Autonomous agents Purpose: The purpose of this paper is to propose a layered adjustable autonomy (LAA) as a dynamically adjustable autonomy model for a multi-agent system. It is mainly used to efficiently manage humans� and agents� shared control of autonomous systems and maintain humans� global control over the agents. Design/methodology/approach: The authors apply the LAA model in an agent-based autonomous unmanned aerial vehicle (UAV) system. The UAV system implementation consists of two parts: software and hardware. The software part represents the controller and the cognitive, and the hardware represents the computing machinery and the actuator of the UAV system. The UAV system performs three experimental scenarios of dance, surveillance and search missions. The selected scenarios demonstrate different behaviors in order to create a suitable test plan and ensure significant results. Findings: The results of the UAV system tests prove that segregating the autonomy of a system as multi-dimensional and adjustable layers enables humans and/or agents to perform actions at convenient autonomy levels. Hence, reducing the adjustable autonomy drawbacks of constraining the autonomy of the agents, increasing humans� workload and exposing the system to disturbances. Originality/value: The application of the LAA model in a UAV manifests the significance of implementing dynamic adjustable autonomy. Assessing the autonomy within three phases of agents run cycle (task-selection, actions-selection and actions-execution) is an original idea that aims to direct agents� autonomy toward performance competency. The agents� abilities are well exploited when an incompetent agent switches with a more competent one. � 2017, � Emerald Publishing Limited. Final 2023-05-29T06:40:04Z 2023-05-29T06:40:04Z 2017 Article 10.1108/IJICC-02-2017-0013 2-s2.0-85033696570 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033696570&doi=10.1108%2fIJICC-02-2017-0013&partnerID=40&md5=e16fec35ef7a04210156f96aa322fd72 https://irepository.uniten.edu.my/handle/123456789/23391 10 4 430 450 Emerald Group Publishing Ltd. Scopus |
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Control theory; Hardware; Machinery; Multi agent systems; Unmanned aerial vehicles (UAV); Vehicles; Adjustable autonomy; Autonomous systems; Autonomous unmanned aerial vehicles; Autonomy levels; Computing machinery; Design/methodology/approach; Multi dimensional; Software and hardwares; Autonomous agents |
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37036085800 Mostafa S.A. Ahmad M.S. Mustapha A. Mohammed M.A. |
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Mostafa S.A. Ahmad M.S. Mustapha A. Mohammed M.A. |
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Mostafa S.A. Ahmad M.S. Mustapha A. Mohammed M.A. Formulating layered adjustable autonomy for unmanned aerial vehicles |
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Mostafa S.A. |
title |
Formulating layered adjustable autonomy for unmanned aerial vehicles |
title_short |
Formulating layered adjustable autonomy for unmanned aerial vehicles |
title_full |
Formulating layered adjustable autonomy for unmanned aerial vehicles |
title_fullStr |
Formulating layered adjustable autonomy for unmanned aerial vehicles |
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Formulating layered adjustable autonomy for unmanned aerial vehicles |
title_sort |
formulating layered adjustable autonomy for unmanned aerial vehicles |
publisher |
Emerald Group Publishing Ltd. |
publishDate |
2023 |
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1806423269250695168 |
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13.209306 |