Benchmark Instances for Battery-Constrained Robot Fleet Management

Min Liu published benchmark instance data and generation code for deep reinforcement learning in mobile fulfillment systems. The dataset is 16.1 MB in size and was last updated on April 25, 2026. It is available under a CC-BY-4.0 license on figshare.

Use Cases

• Benchmarking reinforcement learning algorithms based on the provided instance data.
• Simulating battery-constrained robot fleet operations based on the described system.
• Developing and testing new fleet management policies for mobile fulfillment systems.

Strengths

• Dataset is 16.1 MB, indicating a manageable size for download and experimentation.
• Includes generation code, which suggests the benchmark instances can be reproduced or extended.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Min Liu via figshare

Collection Method

Likely generated for research on robot fleet management.

Freshness

Last updated 2026-04-25 15:52:53; freshness should be verified.