A review of multi-agent mobile robot systems applications

A multi-agent robot system (MARS) is one of the most important topics nowadays. The basic task of this system is based on distributive and cooperative work among agents (robots). It combines two important systems; multi-agent system (MAS) and multi-robots system (MRS). MARS has been used in many app...

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Vydáno v:International journal of electrical and computer engineering (Malacca, Malacca) Ročník 12; číslo 4; s. 3517
Hlavní autoři: Ameer Rasheed, Ammar Abdul, Najm Abdullah, Mohammed, Sabah Al-Araji, Ahmed
Médium: Journal Article
Jazyk:angličtina
Vydáno: Yogyakarta IAES Institute of Advanced Engineering and Science 01.08.2022
Témata:
Algorithms
Artificial intelligence
Collision avoidance
Communication
Communications systems
Computer engineering
Cooperative control
Cooperative work
Distributed processing
Energy consumption
Internet of Things
Multiagent systems
Multiple robots
Obstacle avoidance
Online instruction
Open source software
Path planning
Power consumption
Public domain
Research methodology
Robot dynamics
Robots
Surveillance
Unmanned aerial vehicles
ISSN:2088-8708, 2722-2578, 2088-8708
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Shrnutí:A multi-agent robot system (MARS) is one of the most important topics nowadays. The basic task of this system is based on distributive and cooperative work among agents (robots). It combines two important systems; multi-agent system (MAS) and multi-robots system (MRS). MARS has been used in many applications such as navigation, path planning detection systems, negotiation protocol, and cooperative control. Despite the wide applicability, many challenges still need to be solved in this system such as the communication links among agents, obstacle detection, power consumption, and collision avoidance. In this paper, a survey of the motivations, contributions, and limitations for the researchers in the MARS field is presented and illustrated. Therefore, this paper aims at introducing new study directions in the field of MARS.
Bibliografie:ObjectType-Article-1
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ISSN:2088-8708
2722-2578
2088-8708
DOI:10.11591/ijece.v12i4.pp3517-3529