Multi-UAV Trajectory Planning Data for Offshore Wind Farms

Yunqi Liao's research dataset on figshare supports a distributed differential game framework for multi-UAV cooperative inspection. The 9.5 KB Excel file contains simulation results for energy-aware trajectory planning in offshore wind farms. Data demonstrates enhanced inspection efficiency and collision-free coordination under round-trip energy constraints.

Use Cases

• Analyze energy consumption and round-trip requirements within the game-theoretic objective function for trajectory optimization
• Simulate distributed decision-making coordination based on local information from neighboring UAVs
• Evaluate inspection efficiency and task completion time reductions from the proposed method
• Validate convergence to global Nash equilibrium under system-level coordination constraints

Strengths

• Data originates from a peer-reviewed research paper proposing a novel distributed differential game framework
• Simulation results demonstrate concrete performance improvements in inspection efficiency and completion time
• Dataset is openly shared under a CC BY 4.0 license for reuse

Limitations

• Dataset is extremely small at 9.5 KB, indicating limited scope and likely few data points
• Column structure and row count are unknown, complicating direct analytical use
• Data is synthetic simulation output, not real-world operational data from UAVs

Provenance

Source

figshare, authored by Yunqi Liao

Collection Method

Simulation output from research on optimal coordinated trajectory planning

Time Range

null

Freshness

Last updated March 2026.

Geography

Offshore wind farm inspection context