Dataset for Tables: Coverage Path Planning for Autonomous Aircraft Cabin Cleaning

A 15.6 KB dataset supporting a two-stage Coverage Path Planning framework for reconfigurable cleaning robots in aircraft cabins. The data likely contains parameters for a Genetic Algorithm optimizing the trade-off between cleaning time and energy consumption. Authored by Cong Hien Dinh and published on figshare in May 2026.

Use Cases

• Benchmarking autonomous cleaning algorithms based on the described two-stage CPP and GA-TSP framework.
• Modeling energy consumption for reconfigurable robots based on the integrated energy model.
• Simulating aircraft cabin cleaning operations based on described airline procedures and cabin geometry.

Strengths

• Dataset is small (15.6 KB), facilitating quick download and inspection.
• Explicitly licensed under CC-BY-4.0, allowing for open sharing and adaptation.

Limitations

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

Provenance

Source

Cong Hien Dinh via figshare

Collection Method

Likely generated from experiments incorporating airline procedures and cabin geometry, as described.

Freshness

Last updated 2026-05-28 17:38:40; freshness should be verified.