Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …

Timely administration of key medications toward patients with sudden diseases is critical to
saving lives. However, slow transport of first‐aid therapeutics and the potential absence of …

This paper presents a novel trajectory planning algorithm for quadrotors landing on aerial
vehicle carriers (AVCs). The algorithm involves a quadrotor trajectory planning method …

As a fundamental component of autonomous driving systems, motion planning has garnered
significant attention from both academia and industry. This paper focuses on efficient and …

With the autonomy of aerial robots advances in recent years, autonomous drone racing has
drawn increasing attention. In a professional pilot competition, a skilled operator always …

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 …

Perching on the moving platforms is a promising solution to enhance the endurance and
operational range of quadrotors, which could benefit the efficiency of a variety of air ground …

Autonomous motion planning is challenging in multi-obstacle environments due to
nonconvex collision avoidance constraints. Directly applying numerical solvers to these …

This paper presents a novel trajectory planning method for aerial perching. Compared with
the existing work, the terminal states and the trajectory durations can be adjusted adaptively …