Autonomous Multi-Agent Systems (MAS) operating in dynamic environments require resilient coordination mechanisms to maintain mission continuity despite operational disruptions. This paper presents a resilient orchestration framework that integrates runtime monitoring, interruption detection, recovery re-assessment, and re-orchestration within a unified lifecycle coordinated by a stateless Asynchronous Event Bus (AEB). By treating resilience as an intrinsic orchestration process, the framework enables recovery decision re-assessment and autonomous standby promotion without centralized replanning activities. Experimental evaluation in heterogeneous Search And Rescue (SAR) simulations demonstrates preservation of effective mission continuity and resilient recovery under varying failure conditions.
A Resilience-Oriented Orchestration Framework for Mission Continuity in Multi-agent Autonomous Systems
Anjali Santhosh
;Massimo Tivoli;Marco Autili
2026-01-01
Abstract
Autonomous Multi-Agent Systems (MAS) operating in dynamic environments require resilient coordination mechanisms to maintain mission continuity despite operational disruptions. This paper presents a resilient orchestration framework that integrates runtime monitoring, interruption detection, recovery re-assessment, and re-orchestration within a unified lifecycle coordinated by a stateless Asynchronous Event Bus (AEB). By treating resilience as an intrinsic orchestration process, the framework enables recovery decision re-assessment and autonomous standby promotion without centralized replanning activities. Experimental evaluation in heterogeneous Search And Rescue (SAR) simulations demonstrates preservation of effective mission continuity and resilient recovery under varying failure conditions.Pubblicazioni consigliate
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