RA-STGNN-AMR: Forecast-filter-rank Spatio-temporal Graph Learning for Resilient and Energy-feasible AGV/AMR Fleet Coordination
Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are central to flexible material handling, yet conventional shortest-path and reactive planners cannot anticipate congestion and typically treat battery status, workstation availability, human-zone risk and disruption recovery as separate decisions.Th...