Hierarchical multi-UAV planning can produce scheduled paths that become unsafe during execution because tracking dynamics, actuator limits, sampling, and communication are not fully represented upstream. We introduce a certificate-guided safe-tracking framework that treats each planned path as a versioned execution con...
Yu-Hua Cong, Xian Zhu, Zhisheng Wang et al.· Drones· 0 citations
Fixed-bundle simulations show that the proposed planner can preserve scheduled executability while reducing threat exposure relative to a spatiotemporal-priority baseline and quantitative feedback lowers risk per completed task in both suites after correction for multiple comparisons.
This study addresses dynamic multi-UAV task allocation under online task release, static obstacles, deadlines, limited energy, and vehicle failures. We propose an event-triggered path-based bid assignment method (ET-PBBA). At each mission event, an A-star module estimates the static-obstacle travel cost of feasible UAV...