Si-Qing Li

Executable Reference Trajectory Construction and Conflict-Aware Residual Reinforcement Learning for Urban Multi-UAV Navigation

Results show that the main contribution of the proposed framework lies in converting static geometric paths into executable reference trajectories and further enabling bounded residual correction under inter-UAV conflict conditions.