Hierarchical reinforcement learning with model predictive elevator control for risk-sensitive multi-robot transport scheduling in hospitals
Hospitals increasingly deploy autonomous mobile robots (AMRs) to move specimens and medicines between wards and laboratories. These fleets must meet clinical deadlines that differ across request classes, which couples two decisions: which request each robot serves, and the order of its stops. Intra-hospital transport i...