Abstract Purpose of Review Currently, there is a large body of research on multi-agent
systems addressing their different system theoretic aspects. Aerial swarms as one type of …

Abstract Purpose of Review Robotic patrolling aims at protecting a physical environment by
deploying a team of one or more autonomous mobile robots in it. A key problem in this …

This letter presents benchmark tests of various visual (-inertial) odometry algorithms on
NVIDIA Jetson platforms. The compared algorithms include mono and stereo, covering …

Drone swarms can achieve tasks via collaboration that are impossible for single drones
alone. Synthetic aperture (SA) sensing is a signal processing technique that takes …

Coverage path planning (CPP) is a field of study which objective is to find a path that covers
every point of a certain area of interest. Recently, the use of Unmanned Aerial Vehicles …

Due to the features of on-demand deployment and flexible observation, unmanned aerial
vehicles (UAVs) are promising for serving as the next-generation aerial sensors by using …

Unmanned aerial vehicle (UAV) applications have evolved to a wide range of fields in the
last decade. One of the main challenges in autonomous tasks is the UAV stability during …

With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms
have received great attention from both academia and industry due to their potential to …

This paper tackles the robust leaderless Time-Varying Formation (TVF) control problem for
the Unmanned Aerial Vehicle (UAV) swarm system with Lipschitz nonlinear dynamics …

A proportional integral differential (PID) trajectory tracking control strategy based on fuzzy
logic and RBF neural network is proposed for the trajectory stability tracking control of the …