Virtual Leader-based Safe Formation-Switching Control for Dense Environments

Maintaining formation integrity is a significant challenge for a multi-agent system while navigating in cluttered environments. This paper presents a multi-agent formation control, integrating a virtual leader strategy with formation switching (FS) and Safe Artificial Potential Field (SAPF) control. Our goal is to navigate an Unmanned Aerial Vehicle (UAV) formation collision-free around obstacles allowing smooth transitions among three formations based on the available space. Simulation results show that our FS-SAPF framework achieves a higher success rate by effectively handling local minima and reducing oscillations than traditional Artificial Potential Field (APF) approaches. Our FS-SAPF maintains a larger minimum distance between agents and obstacles, thus enhancing safety in complex environments.

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Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10887807
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
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article

Virtual Leader-based Safe Formation-Switching Control for Dense Environments

Bernhard Rinner, Aamna Zahid Piracha
Distributed Control Multi-Agent Systems
article

Virtual Leader-based Safe Formation-Switching Control for Dense Environments

Bernhard Rinner, Aamna Zahid Piracha
article en

Abstract

Maintaining formation integrity is a significant challenge for a multi-agent system while navigating in cluttered environments. This paper presents a multi-agent formation control, integrating a virtual leader strategy with formation switching (FS) and Safe Artificial Potential Field (SAPF) control. Our goal is to navigate an Unmanned Aerial Vehicle (UAV) formation collision-free around obstacles allowing smooth transitions among three formations based on the available space. Simulation results show that our FS-SAPF framework achieves a higher success rate by effectively handling local minima and reducing oscillations than traditional Artificial Potential Field (APF) approaches. Our FS-SAPF maintains a larger minimum distance between agents and obstacles, thus enhancing safety in complex environments.

University of Klagenfurt (AT)
Openalex Percentile: Top 96%
Distributed Control Multi-Agent Systems
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