In this article, we propose a complete and robust system for the aggressive flight of
autonomous quadrotors. The proposed system is built upon on the classical teach-and …

Planning is an essential topic in the realm of automated driving. Besides planning
algorithms that are widely covered in the literature, planning requires different software tools …

Drone racing is becoming a popular e‐sport all over the world, and beating the best human
drone race pilots has quickly become a new major challenge for artificial intelligence and …

For the last decade, there has been great interest in studying dynamic control for unmanned
aerial vehicles, but drones—although a useful technology in different areas—are prone to …

从单无人机机动飞行向多机协同扩展的通用规划框架出发, 介绍了其中各模块相关研究的基本
原理, 代表性方法和前沿研究, 主要包括用于环境障碍感知的实时导航地图构建 …

Unmanned aerial systems provide many applications with the ability to perform flying tasks
autonomously, and hence have received significant research and commercial attention in …

In this article, a novel real-time time-optimal trajectory planning (TOTP) approach is
proposed for rotorcrafts under velocity constraints and complex nonconvex thrust, attitude …

With much research has been conducted into trajectory planning for quadrotors, planning
with spatial and temporal optimal trajectories in real-time is still challenging. In this letter, we …

In this paper, we propose a novel trajectory generation method for autonomous excavator
teach-and-plan applications. Rather than controlling the excavator to precisely follow the …

To guide a robotic swarm in a cluttered environment, a curve virtual tube is designed in this
paper. There is no obstacle within the curve virtual tube, and the area inside can be seen as …