A Distributed System for Collaboration and Control of UAV Groups: Experiments and Analysis

Godwin, Mark F.; Spry, S.; Hedrick, J. Karl

doi:10.1007/978-3-540-48271-0_9

Cited by 8 publications

(2 citation statements)

References 10 publications

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“…Often a centralized system architecture is adopted, where all UAVs communicate with a GCS, that coordinates the activities of all individual vehicles. This system architecture is considered to lead to the best collaborative performance but can also suffer from communication constraints (Godwin et al, 2007).…”

Section: Team Collaboration In Remote Areasmentioning

confidence: 99%

Ecological Interface for Collaboration of Multiple UAVs in Remote Areas

et al. 2016

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Unmanned Aerial Vehicles (UAVs) can be used to access remote areas, e.g., for surveillance missions. Collaboration between them can help overcome communication constraints by building airborne relay networks that allow beyond line of sight communication. This research investigates whether a single human operator can supervise multiple UAVs in a collaborative surveillance task under communication constraints. We designed an ecological interface to support operators in their task and increase system flexibility. A preliminary humanin-the-loop study was done to investigate operator task performance and evaluate interface components. It was shown that operators are able to successfully operate surveillance missions under communication-and battery constraints. Participants did, however, not succeed to do this without separation conflicts and communication losses, which indicates that the interface lacks elements representing endurance and separation assurance. To an extent, the interface design turned out to be scalable, with a few remaining visualizations that cause clutter for large numbers of UAVs. More advanced ways of displaying information on request and grouping of select information is warranted to further improve the interface.

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Section: Team Collaboration In Remote Areasmentioning

confidence: 99%

Ecological Interface for Collaboration of Multiple UAVs in Remote Areas

et al. 2016

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“…However, there are only local interactive rules utilized behind these complex behaviors [ 3 , 4 ]. Formation control of a multi-agent system has potential applications in many other domains other than the robotics such as sensor networks [ 5 ], surveillance missions [ 6 ], and search and rescue [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors

Chen

2014

Sensors

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This paper describes an interactive control algorithm, called Triangle Formation Algorithm (TFA), used for three neighboring robotic sensors which are distributed randomly to self-organize into and equilateral triangle (E) formation. The algorithm is proposed based on the triangular geometry and considering the actual sensors used in robotics. In particular, the stability of the TFA, which can be executed by robotic sensors independently and asynchronously for E formation, is analyzed in details based on Lyapunov stability theory. Computer simulations are carried out for verifying the effectiveness of the TFA. The analytical results and simulation studies indicate that three neighboring robots employing conventional sensors can self-organize into E formations successfully regardless of their initial distribution using the same TFAs.

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A Triangular Formation Strategy for Collective Behaviors of Robot Swarm

Ercan

Fung

2009

Computational Science and Its Applications – ICCSA 2009

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A Distributed System for Collaboration and Control of UAV Groups: Experiments and Analysis

Cited by 8 publications

References 10 publications

Ecological Interface for Collaboration of Multiple UAVs in Remote Areas

Ecological Interface for Collaboration of Multiple UAVs in Remote Areas

An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors

A Triangular Formation Strategy for Collective Behaviors of Robot Swarm

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