Three-dimensional mapping is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …

Quadrotors are agile. Unlike most other machines, they can traverse extremely complex
environments at high speeds. To date, only expert human pilots have been able to fully …

Neural Radiance Fields (NeRFs) have recently emerged as a powerful paradigm for the
representation of natural, complex 3D scenes. Neural Radiance Fields (NeRFs) represent …

Autonomous, agile quadrotor flight raises fundamental challenges for robotics research in
terms of perception, planning, learning, and control. A versatile and standardized platform is …

Gradient-based planners are widely used for quadrotor local planning, in which a Euclidean
Signed Distance Field (ESDF) is crucial for evaluating gradient magnitude and direction …

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 tackle the problem of flying time-optimal trajectories through multiple
waypoints with quadrotors. State-of-the-art solutions split the problem into a planning task …

Autonomous exploration is a fundamental problem for various applications of unmanned
aerial vehicles (UAVs). Existing methods, however, were demonstrated to insufficient …

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 …