We present Neural-Swarm2, a learning-based method for motion planning and control that
allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation …

In this paper, we present Neural-Swarm, a nonlinear decentralized stable controller for close-
proximity flight of multirotor swarms. Close-proximity control is challenging due to the …

We present a novel approach to increase the flight time of a multirotor via mid-air docking
and in-flight battery switching. A main quadcopter flying using a primary battery has a …

Tracking position and orientation independently affords more agile maneuver for over-
actuated multirotor Unmanned Aerial Vehicles (UAVs) while introducing undesired …

The inspection and maintenance of power lines with aerial robots requires to decrease as
much as possible the performance time given the limited capacity of the batteries and the …

Integrating Unmanned Aerial Vehicles (UAVs) into airspace requires a reliable framework
which is robust and scalable. CORRIDRONE is one such architecture that generates …

In this paper, we address the problem of multiple quadcopter control, where the quadcopters
maneuver in close proximity resulting in interference due to air-drafts. We use sparse …

Energy sources such as batteries do not decrease in mass after consumption, unlike
combustion-based fuels. We present the concept of staging energy sources, ie consuming …

Teams of flying robots can be used for inspection, delivery, and construction tasks, in which
they might be required to fly very close to each other. In such close-proximity cases …

The marsupial unmanned aircraft system (UAS) consists of a large parent unmanned aerial
vehicle (UAV) and multiple small children UAVs that can be launched and recovered in the …