Inspection Path

Inspection path planning focuses on automatically generating efficient and effective trajectories for sensors or robots to inspect surfaces or structures, maximizing coverage while minimizing time and resources. Current research emphasizes using various optimization algorithms, including reinforcement learning, ant colony optimization, and genetic algorithms, often coupled with 3D modeling and visual data analysis to generate optimal paths for both ground-based robots and unmanned aerial vehicles (UAVs). This research is crucial for automating inspection tasks in manufacturing and infrastructure maintenance, improving efficiency, consistency, and safety in these critical applications.