Multi-UAV path planning methodology for dual-task power inspection scenarios based on genetic algorithm

Key Points

• The research aims to develop a path planning methodology for multi-UAV systems focused on dual-task power inspection.
• Utilized genetic algorithm for optimizing UAV path planning.
• Developed dual-task scenarios for inspecting power infrastructure.
• Simulated multiple UAVs working collaboratively for task efficiency.
• Improved path efficiency compared to traditional methods.
• Reduced time taken for power inspections with multi-UAV coordination.
• Enhanced effectiveness in executing dual tasks simultaneously.