Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles,
play an increasingly important role in people's work and lives. Path planning and obstacle …

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 …

This article is concerned with the problem of planning optimal maneuver trajectories and
guiding the mobile robot toward target positions in uncertain environments for exploration …

In this article, we present an optimization-based framework for multicopter trajectory
planning subject to geometrical configuration constraints and user-defined dynamic …

This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …

This article presents MADER, a 3-D decentralized and asynchronous trajectory planner for
UAVs that generates collision-free trajectories in environments with static obstacles …

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 …

This paper presents a decentralized and asynchronous systematic solution for multi-robot
autonomous navigation in unknown obstacle-rich scenes using merely onboard resources …

Semantic maps represent the environment using a set of semantically meaningful objects.
This representation is storage-efficient, less ambiguous, and more informative, thus …

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 …