Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …

This paper proposes an efficient data structure, ikd-Tree, for dynamic space partition. The ikd-
Tree incrementally updates a kd tree with new coming points only, leading to much lower …

Many years after construction, a number of existing old tunnels and underground structures
are deteriorating with time as evidenced by cracks, large deformations, water leakage and …

Swarm navigation in cluttered environments is a grand challenge in robotics. This work
combines deep learning with first-principle physics through differentiable simulation to …

In practical applications, autonomous quadrotors are still facing significant challenges, such
as the detection and avoidance of very small and even dynamic obstacles (eg, tree …

Quadrotors are agile platforms. With human experts, they can perform extremely high-speed
flights in cluttered environments. However, fully autonomous flight at high speed remains a …

Obstacle avoidance path planning is considered an essential requirement for unmanned
aerial vehicle (UAV) to reach its designated mission area and perform its tasks. This study …

For letting mobile robots travel flexibly through complicated environments, increasing
attention has been paid to the whole-body collision evaluation. Most existing works either …

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 …

UAVs flying in complex low-altitude environments often require real-time sensing to avoid
environmental obstacles. In previous approaches, UAVs have usually carried out motion …