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Autores principales: Uppaluru, Harshvardhan, Ghuran, Mohammad, Rastgoftar, Hossein
Formato: Preprint
Publicado: 2023
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Acceso en línea:https://arxiv.org/abs/2301.05833
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author Uppaluru, Harshvardhan
Ghuran, Mohammad
Rastgoftar, Hossein
author_facet Uppaluru, Harshvardhan
Ghuran, Mohammad
Rastgoftar, Hossein
contents Reliability is a critical aspect of multi-agent system coordination as it ensures that the system functions correctly and consistently. If one agent in the system fails or behaves unexpectedly, it can negatively impact the performance and effectiveness of the entire system. Therefore, it is important to design and implement multi-agent systems with a high level of reliability to ensure that they can operate safely and move smoothly in the presence of unforeseen agent failure or lack of communication with some agent teams moving in a shared motion space. This paper presents a novel fluid flow navigation model that, in an ideal fluid flow, divides agents into cooperative (non-singular) and noncooperative (singular) agents, with cooperative agents sliding along streamlines safely enclosing noncooperative agents in a shared motion space. A series of flight experiments utilizing crazyflie quadcopters will experimentally validate the suggested model.
format Preprint
id arxiv_https___arxiv_org_abs_2301_05833
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Multi-Agent Coordination Fluid Flow Modeling and Experimental Evaluation
Uppaluru, Harshvardhan
Ghuran, Mohammad
Rastgoftar, Hossein
Systems and Control
Reliability is a critical aspect of multi-agent system coordination as it ensures that the system functions correctly and consistently. If one agent in the system fails or behaves unexpectedly, it can negatively impact the performance and effectiveness of the entire system. Therefore, it is important to design and implement multi-agent systems with a high level of reliability to ensure that they can operate safely and move smoothly in the presence of unforeseen agent failure or lack of communication with some agent teams moving in a shared motion space. This paper presents a novel fluid flow navigation model that, in an ideal fluid flow, divides agents into cooperative (non-singular) and noncooperative (singular) agents, with cooperative agents sliding along streamlines safely enclosing noncooperative agents in a shared motion space. A series of flight experiments utilizing crazyflie quadcopters will experimentally validate the suggested model.
title Multi-Agent Coordination Fluid Flow Modeling and Experimental Evaluation
topic Systems and Control
url https://arxiv.org/abs/2301.05833