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arXiv · 2606.13479

A Reactive Redistribution Mechanism for STL Tasks in Multi-Agent Systems Under Time-Varying Communication

Gregorio Marchesini·Bjarne Jan Jesse Moro·Siyuan Liu·Lars Lindemann·Dimos V. Dimarogonas
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Abstract

We present a communication-aware task decomposition framework for multi-agent systems with collaborative relative configuration objectives specified in Signal Temporal Logic (STL), allowing for dynamic task reallocation under time-varying communication networks. Building on our prior work, the framework supports the direct use of existing feedback controllers for reactive task satisfaction. We address two key challenges: disjunctive STL specifications and time-varying communication networks. Disjunctive specifications are handled through a graph transition system that captures the alternative task sequences induced by logical OR operators. To address time-varying connectivity, we introduce a redistribution mechanism that transfers tasks from disconnected agents to connected ones as the network evolves while preserving decentralized execution. Simulations and experiments on a swarm of Crazyflie drones demonstrate scalability in the number of agents, communication connectivity, and specification complexity.

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Gregorio Marchesini, Bjarne Jan Jesse Moro, Siyuan Liu, Lars Lindemann, Dimos V. Dimarogonas. 2026-06-11. A Reactive Redistribution Mechanism for STL Tasks in Multi-Agent Systems Under Time-Varying Communication. https://arxiv.org/abs/2606.13479

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