Formulating layered adjustable autonomy for unmanned aerial vehicles

Author:

Mostafa Salama A.ORCID,Ahmad Mohd Sharifuddin,Mustapha Aida,Mohammed Mazin Abed

Abstract

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.

Publisher

Emerald

Subject

General Computer Science

Reference24 articles.

1. A field study of human-agent interaction for electricity tariff switching,2014

2. Risk-based sensing in support of adjustable autonomy,2012

3. Integrating human recommendations in the decision process of autonomous agents,2013

4. Autonomous tactile perception: a combined improved sensing and bayesian nonparametric approach;Robotics and Autonomous Systems,2014

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Variable Autonomy through Responsible Robotics: Design Guidelines and Research Agenda;ACM Transactions on Human-Robot Interaction;2024-01-30

2. Assignment and Take-Off Approaches for Large-Scale Autonomous UAV Swarms;IEEE Transactions on Intelligent Transportation Systems;2023-05

3. SVM Algorithm for Vibration Fault Diagnosis in Centrifugal Pump;Intelligent Automation & Soft Computing;2023

4. Waste material classification using performance evaluation of deep learning models;Journal of Intelligent Systems;2023-01-01

5. Malicious script distribution pattern detection technique for image search websites;Journal of Electronic Imaging;2022-06-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3