Path Planning Simulation Data for Coal Mine Transport Robots

A dataset supporting research on improved path planning algorithms for underground transport robots in coal mines. The data was created by TongZhu Yu and published on figshare under a CC-BY-4.0 license in May 2026. It is a 72.3 MB archive containing simulation results for validating a hybrid A* and DWA algorithm.

Use Cases

• Benchmarking path planning algorithms based on simulated obstacle avoidance data.
• Training or validating robot navigation models based on terrain risk and efficiency metrics.
• Analyzing the performance of bidirectional adaptive search strategies in complex environments.

Strengths

• Data is openly licensed under CC-BY-4.0, permitting reuse and modification.
• The 72.3 MB size suggests a contained, manageable dataset for initial experimentation.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality and structure require manual inspection.

Provenance

Source

TongZhu Yu via figshare.

Collection Method

Generated from path planning experiments in a simulated environment, as described.

Time Range

Simulation date range is unknown.

Freshness

Last updated 2026-05-04 17:32:18; freshness should be verified.

Geography

Spatial coverage is not specified, but the context is coal mine roadways.