动态和复杂群体结构的编队行为
Flocking behavior for dynamic and complex swarm structures
AI总结：
本文提出了一种基于虚拟质心的算法，用于实现无人机在动态和复杂群体结构中的编队行为，通过仿真和实验验证了其在复杂场景中的有效性。
摘要：
维持由多个无人机组成的复杂结构的编队以及实现复杂轨迹仍是一个重大挑战。本文提出了一种基于虚拟质心概念的算法，用于实现无人机的编队行为，以便轻松开发编队结构。该方法建立在经典的基于虚拟的行为之上，提供了一个理论框架，用于将增强功能动态地控制代理数量和结构编队。进行了仿真测试和实际实验，证明了其在复杂编队和复杂轨迹中的简便性。
英文摘要：
Maintaining the formation of complex structures with multiple UAVs and achieving complex trajectories remains a major challenge. This work presents an algorithm for implementing the flocking behavior of UAVs based on the concept of Virtual Centroid to easily develop a structure for the flock. The approach builds on the classical virtual-based behavior, providing a theoretical framework for incorporating enhancements to dynamically control both the number of agents and the formation of the structure. Simulation tests and real-world experiments were conducted, demonstrating its simplicity even with complex formations and complex trajectories.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
