Fly-by-Agent: Controlling a Pool of UAVs via a Multi-Agent System

Baxter, Jeremy; Horn, Graham S.; Leivers, Daniel P.

doi:10.1007/978-1-84800-086-5_16

Cited by 9 publications

(5 citation statements)

References 5 publications

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“…Software systems for management and control of robotic devices including united UAVs groups are actively developed at the present time [10,11]. A promising direction for developing such systems is extending their functionality by developing technical solutions using methods and tools of coordinated planning of actions in groups of robotic devices performing common tasks.…”

Section: Resultsmentioning

confidence: 99%

Multi-agent tasks scheduling for coordinated actions of unmanned aerial vehicles acting in group

Skobelev¹,

Budaev²,

Brankovsky³

et al. 2018

Int. J. DNE

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This paper discusses hardware and software prototype of multi-agent system for unmanned aerial vehicles (UAVs) group action planning. We describe the approach for system implementation as a whole and software agents within the system. The aim of current and future developments is creation of complex scientific and technical solutions for coordinated planning and actions management of heterogeneous UAV groups in real time.

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Section: Resultsmentioning

confidence: 99%

Multi-agent tasks scheduling for coordinated actions of unmanned aerial vehicles acting in group

Skobelev¹,

Budaev²,

Brankovsky³

et al. 2018

Int. J. DNE

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“…not purely reactive. However there are a number of multi-agent systems where the agents have a central controller (Baxter et al, 2007;Murray-Rust & Smaill, 2005), and there are a number of researchers who also define reactive-based systems as multi-agent.…”

Section: Related Workmentioning

confidence: 99%

Testing a hybrid hardware quantum multi-agent system architecture that utilizes the quantum speed advantage for interactive computer music

Kirke

2020

Journal of New Music Research

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This paper introduces MIq (Multi-Agent Interactive qgMuse), which builds on the single agent quantum system qgMuse using teleportation. MIq is the first attempt at a real-time interactive quantum computer music algorithm that utilises the quantum advantage. Previous interactive or real-time quantum music algorithms running on quantum computers have been mappings of classical computing algorithms, with no quantum advantage obtained. MIq provides a quadratic speed-up over classical methods. It is a Quantum Hybrid Multi-agent System architecture implemented on 5 and 14 qubit quantum hardware. Classical agents and quantum agents connect via a classical/quantum hybrid agent that enables communication using quantum teleportation.

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“…Study on cooperative control of multiagent systems (MASs) has received a lot of attention from the research community in the last decade due to MASs' potential applications, for example, in satellite [1,2], spacecraft [3,4], unmanned aerial vehicle [5,6], surveillance [7,8], mobile robots [9][10][11], and others. One of the active area in cooperative control for MASs is formation control.…”

Section: Introductionmentioning

confidence: 99%

Distributed position estimation approach for multiagent formation with size scaling

Djamari

2020

Asian Journal of Control

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This work studies formation control of multiagent systems (MASs) where its formation size is scalable via a scaling factor (scalable formation). Past works on scalable formation are limited to either fixed undirected graph or fixed directed graph with p-rooted graph condition. This work proposes a new distributed algorithm for scalable formation based on a distributed observer to estimate agents' positions. The new algorithm results in a new matrix, a Laplacian matrix with additional diagonal terms, where the desired formation pattern is embedded in this diagonal terms. With the proposed algorithm, only spanning tree condition is needed as the necessary and sufficient condition to achieve the scalable formation. Numerical examples are shown to illustrate the proposed method.

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Fly-by-Agent: Controlling a Pool of UAVs via a Multi-Agent System

Cited by 9 publications

References 5 publications

Multi-agent tasks scheduling for coordinated actions of unmanned aerial vehicles acting in group

Multi-agent tasks scheduling for coordinated actions of unmanned aerial vehicles acting in group

Testing a hybrid hardware quantum multi-agent system architecture that utilizes the quantum speed advantage for interactive computer music

Distributed position estimation approach for multiagent formation with size scaling

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