Purpose–Unmanned aerial vehicles (UAVs) have a wide variety of applications such as
surveillance and search. Many of these tasks are better executed by multiple UAVs acting as …

Motivated by three applications which are under investigation at the Honeywell Research
Laboratory in Minneapolis, we introduce a class of large scale control problems. In particular …

To solve the problem of multi-UAV collision avoidance, propose the solution framework of
multi-UAV collision avoidance based on the reinforcement learning. Firstly, four elements of …

This paper represents an extension of our previous work [D. Dimarogonas, et al.(2003), S.
Loizou, et al.(2003)] on multiagent navigation to the case of decentralized control of multiple …

The invention described herein provides an apparatus and a method to cooperatively track
and intercept a plurality of highly maneuvering asymmetric threats using networks of small …

The work presented in this paper relates to the conceptual definition, simulation, and
performance analysis of a novel, 3-D graph theory-based routing algorithm. The proposed …

This paper addresses the problem of conflict avoidance in Air Traffic Management (ATM)
systems. Aircraft are assumed to travel in a shared airspace and collaborate for solving the …

This work begins to address one of the critical questions in the urban air mobility and small
unmanned aircraft communities: Should the en-route conflict resolution function in an urban …

While performing a mission, multiple unmanned aerial vehicles (UAVs) need to avoid each
other to prevent collisions among them. In this paper, we design a collision avoidance …

Path planning is important for the autonomy of Unmanned Aerial Vehicle (UAV), especially
for scheduling UAV delivery. However, the operating environment of UAVs is usually …