aiqbench analysis
This research focuses on optimizing resource usage in multi-robot swarms by introducing a nonlinear, event-triggered control strategy that updates actions only when necessary. By leveraging distance measurements and control barrier functions, the approach maintains formation stability and prevents collisions while significantly reducing actuation effort compared to periodic methods. The findings are relevant for advancing efficient machine learning and control algorithms in autonomous agent systems.
Distributed Event-Triggered Distance-Based Formation Control for Multi-Agent Systems
arXiv:2509.12390v3 Announce Type: replace Abstract: This paper addresses collaborative formation control for multi-agent systems with limited resources. We consider a team of robots tasked with achieving a desired formation from an arbitrary initial configuration. To reduce unnecessary control updates and conserve resources, we propose a distributed event-triggered formation controller. Unlike the well-studied linear formation controllers, the proposed controller is nonlinear and relies on inter-agent distance measurements. Control updates are triggered only when the measurement error exceeds a state-dependent threshold, ensuring system stability while reducing actuation effort. We also employ a distributed control barrier function to guarantee inter-agent collision avoidance. The proposed controller is validated through simulations and real-world experiments involving different communication topologies, scalability tests, and variations in design parameters, and is also compared to periodic triggering strategies. Results demonstrate that the event-triggered approach significantly reduces control effort while preserving formation performance.
Abstract:This paper addresses collaborative formation control for multi-agent systems with limited resources. We consider a team of robots tasked with achieving a desired formation from an arbitrary initial configuration. To reduce unnecessary control updates and conserve resources, we propose a distributed event-triggered formation controller. Unlike the well-studied linear formation controllers, the proposed controller is nonlinear and relies on inter-agent distance measurements. Control updates are triggered only when the measurement error exceeds a state-dependent threshold, ensuring system stability while reducing actuation effort. We also employ a distributed control barrier function to guarantee inter-agent collision avoidance. The proposed controller is validated through simulations and real-world experiments involving different communication topologies, scalability tests, and variations in design parameters, and is also compared to periodic triggering strategies. Results demonstrate that the event-triggered approach significantly reduces control effort while preserving formation performance.
Robotics (cs.RO)
arXiv:2509.12390 [cs.RO]
(or arXiv:2509.12390v3 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2509.12390 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 228 words
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