We study a novel graph path planning problem for multiple agents that may crash at runtime, and block part of the workspace. In our setting, can detect neighboring crashed agents, change followed paths runtime. The objective is then to prepare set switching rules each agent, ensuring all correct reach their destinations without collisions or deadlocks, despite unforeseen crashes other agents. S...

Unmanned aerial vehicles (UAVs), commonly known as drones, have drawn significant consideration thanks to their agility, mobility, and flexibility features. They play a crucial role in modern reconnaissance, inspection, intelligence, surveillance missions. Coverage path planning (CPP) which is one of the aspects that determines an intelligent system’s quality seeks optimal trajectory fully cove...