2013
DOI: 10.2478/pomr-2013-0020
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Controlling a team of unmanned underwater vehicles performing water region search tasks

Abstract: are to be discussed, including communication between the vehicles, coordination of actions, performing negotiations, and many others.The computer sciences make more and more frequent use of multi-agent systems, especially to solve problems of distributed nature, or those requiring complicated calculations. The multiagent system comprises a number of agents which communicate and cooperate with each other to perform a common task. The mechanism of the multi-agent system can be easily adopted to control the team … Show more

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Cited by 4 publications
(5 citation statements)
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“…Assumed agent architecture and control flow is shown in Figure 3 [25,32]. The algorithms related to detecting obstacles are included in the layer of reflex action.…”
Section: Multi-agent System For Usv Maneuver Auto-negotiationmentioning
confidence: 99%
“…Assumed agent architecture and control flow is shown in Figure 3 [25,32]. The algorithms related to detecting obstacles are included in the layer of reflex action.…”
Section: Multi-agent System For Usv Maneuver Auto-negotiationmentioning
confidence: 99%
“…Let S={s 1 ,s 2 ,…} mean possible environmental conditions and A={a 1 , a 2 ,…} possible agent actions. While making a formal description of the agent's operation, it can be noted that the action can be treated as a function (Gnatowski, 2005;Weiss, 1999;Zak, 2013a):…”
Section: Unmanned Underwater Vehicle As An Agentmentioning
confidence: 99%
“…According to the adopted structure, the algorithms related to detecting obstacles are implemented in the layer of reflex action as well as algorithms related to maintaining the course and speed of movement (Garus & Zak, 2010;Zak, 2016). The planning layer implements algorithms related to driving the vehicle along a set trajectory, including determining the trajectory of obstacle avoiding (Lisowski, 2016;Zak 2013a). At the level of cooperation, the vehicle exchanges data with other team members and also conducts negotiations in the event of damage to any of the vehicles and the need to undertake a substitute task (Lisowski, 2013).…”
Section: Algorithm Of Agent Behaviormentioning
confidence: 99%
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“…In many issues of transport and logistics there are many possible and acceptable solutions to the problem, of which only one is the optimal solution under the assumed criterion of the quality of the transport or logistics process [14,15,16].…”
Section: Fig 1 Stages Of Formulating and Solving The Optimization Taskmentioning
confidence: 99%