Multi-Agent Formation Control Using Epipolar Constraints

Formation control of multi-agent systems has profound applications in today's technological scene, ranging from satellite constellations, collaborative load transportation, cooperative surveillance, and distributed aperture imaging systems. Often, these applications are needed in environments where localization is challenging or inexistent, such as indoor and underground environments or extra-planetary scenarios (such as Mars or the Moon). In this letter, we propose a novel formation control scheme using image feature correspondences from widespread onboard cameras and only one range measurement between the formation leader and one of its neighbors. Then, optimal control inputs generated by a Nonlinear Model Predictive Control-based control law drive the agents toward the desired formation setting. The framework is tested both in simulation and on mobile platforms in a laboratory environment, with multiple camera types.

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Institutions

Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-08-15
DOI
https://doi.org/10.1109/lra.2024.3444690
Citations
4
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
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article

Multi-Agent Formation Control Using Epipolar Constraints

Pedro Roque, Pedro Miraldo, Dimos V. Dimarogonas
4 citations
IEEE Robotics and Automation Letters
Distributed Control Multi-Agent Systems
1.40
article

Multi-Agent Formation Control Using Epipolar Constraints

Pedro Roque, Pedro Miraldo, Dimos V. Dimarogonas
article en
4 citations

Abstract

Formation control of multi-agent systems has profound applications in today's technological scene, ranging from satellite constellations, collaborative load transportation, cooperative surveillance, and distributed aperture imaging systems. Often, these applications are needed in environments where localization is challenging or inexistent, such as indoor and underground environments or extra-planetary scenarios (such as Mars or the Moon). In this letter, we propose a novel formation control scheme using image feature correspondences from widespread onboard cameras and only one range measurement between the formation leader and one of its neighbors. Then, optimal control inputs generated by a Nonlinear Model Predictive Control-based control law drive the agents toward the desired formation setting. The framework is tested both in simulation and on mobile platforms in a laboratory environment, with multiple camera types.

IEEE Robotics and Automation LettersVol. 9(12)
Mitsubishi Electric (United States) (US), KTH Royal Institute of Technology (SE)
Mitsubishi Electric Research Laboratories, Vetenskapsrådet
Climate action
Openalex Percentile: Top 17%
Distributed Control Multi-Agent Systems
1.40
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Multi-Agent Formation Control Using Epipolar Constraints — Pedro Roque, Pedro Miraldo, et al. · IEEE Robotics and Automation Letters (2024) | TGRS Research Map | TGRS