Ying Ma

A High-Quality and Efficient Trajectory Replanning Method for Quadrotor Swarms Based on Rolling-Horizon Collision Resolution

We propose a high-quality and computationally efficient trajectory replanning method for Unmanned Aerial Vehicle (UAV) swarms, termed RHCR-Opt, which is designed to continuously and efficiently generate multiple collision-free trajectories in dense obstacle environments. RHCR-Opt consists of three layers. The first two...