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 …

Recently, quadrotors are gaining significant attention in aerial transportation and delivery. In
these scenarios, an accurate estimation of the external force is as essential as the six …

Adaptive autonomous navigation with no prior knowledge of extraneous disturbance is of
great significance for quadrotors in a complex and unknown environment. The mainstream …

The quadrotor is popularly used in challenging environments due to its superior agility and
flexibility. In these scenarios, trajectory planning plays a vital role in generating safe motions …

Minimum-time navigation within constrained and dynamic environments is of special
relevance in robotics. Seeking time-optimality, while guaranteeing the integrity of time …

In general, optimal motion planning can be performed both locally and globally. In such a
planning, the choice in favor of either local or global planning technique mainly depends on …

Maintaining a map online is resource-consuming while a robust navigation system usually
needs environment abstraction via a well-fused map. In this paper, we propose a mapless …

The goal of this paper is to develop a continuous optimization-based refinement of the
reference trajectory to 'push it out'of the obstacle-occupied space in the global phase for …

Safe trajectory planning of unmanned aerial vehicles (UAVs) has drawn significant attention.
For avoiding obstacles, the two prevailing methods of distance penalty and convex …

In searching for the stable motion re-planning as required by autonomous quadrotors, deep
reinforcement learning (DRL) techniques play a vital role in balancing the reference …