Artificial Intelligence #dynamic asset management#multi-agent scheduling
DynAMO: Dynamic Asset Management Orchestration via Topological Multi-Agent Scheduling
A new research paper introduces DynAMO, a deployment-ready engine for LLM-powered agent orchestration in Industry 4.0. Using Plan-then-Execute architecture with sequential and parallel workflows, it achieves 1.6x median latency reduction, rising to 1.8x on parallelizable tasks. Structured context pruning cuts inference time 30%. Tests on AssetOpsBench show robust performance under fault injection.
Jul 8, 2026 2 sources