Autonomous mobile robot operations logistics: a dataset of jobs, dispatch events and robot states
This preprint releases MoRoOp, a dataset linking 1,382 jobs, 4,815 operations, 19,352 dispatch events and 140,386 robot-state observations from nine eight-hour shifts of a single autonomous mobile robot in a laboratory kit-supply scenario. The data combine planning and control records with robot telemetry, including per-wheel battery state and navigation diagnostics, and deliberately retain operational disturbances. It provides a missing single-resource reference for evaluating AI-based dispatch agents, disturbance detection, operation prediction and data-driven simulation in production logistics.