[Submitted on 1 Oct 2026]
Title:Autonomous mobile robot operations logistics: a dataset of jobs, dispatch events and robot states
View a PDF of the paper titled Autonomous mobile robot operations logistics: a dataset of jobs, dispatch events and robot states, by Jan-Felix Klein and Yongkuk Jeong
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Abstract:Autonomous mobile robots (AMRs) increasingly perform material transport in production logistics, where their operation is governed by job generation, dispatching and robot control. We present MoRoOp, a dataset of AMR operations recorded in a laboratory kit preparation and supply scenario over nine eight-hour shifts. During each shift, an AMR executed stochastically generated kit supply, empty-box refill and charging jobs. The dataset links job specifications, the operations constituting each job, dispatch events documenting operation state transitions and outcomes, and robot-state observations comprising position, orientation, velocity, per-wheel state of charge and diagnostics. It contains 1,382 jobs, 4,815 operations, 19,352 dispatch events and 140,386 robot-state observations together with the kit specifications used during job generation. The dataset was recorded in an operating laboratory environment, and technically valid observations of delays, obstructed navigation and unsuccessful operations were retained. Both raw and cleaned robot-state tables are provided. Documented reuse directions include the evaluation of AI agents on operational decision records, disturbance detection, operation prediction, data-driven simulation and event-log analysis.
Comments: Submitted to Nature Scientific Data
Subjects:
Robotics (cs.RO)
Cite as: arXiv:2610.02428 [cs.RO]
(or arXiv:2610.02428v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2610.02428
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Jan-Felix Klein [view email] [v1] Thu, 1 Oct 2026 19:50:02 UTC (1,392 KB)
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