The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …

There has been a continuous interest in multi-robot formation systems in the last few years
due to several significant advantages such as robustness, scalability, and efficiency …

Escorting a moving object in a subsea environment with cooperative autonomous
underwater vehicles (AUVs) is a typical subject in Underwater Internet of Things (UIoT) …

Artificial potential field (APF) is the effective real-time guide, navigation, and obstacle
avoidance for UAV Quadrotor. The main problem in APF is local minima in an obstacle or …

A formation flight controller for unmanned aerial vehicles (UAV) capable of obstacle
avoidance is designed in the framework of nonlinear model predictive control (MPC). The …

This article studies the collision avoidance and interference mitigation for unmanned aerial
vehicle (UAV) swarm where many UAVs track a common target. The considered problem is …

Focusing on the GNRON (goal nonreachable with obstacles nearby), the local minima and
chattering of the traditional artificial potential field method, the potential field functions are …

Unmanned Aerial Vehicles (UAV) are fast gaining popularity. Due to their many desired
features, in the near future, UAVs will be an inevitable part of many fields. This increased …

Over the course of the past decade, we have witnessed a huge expansion in robotic
applications, most notably from well-defined industrial environments into considerably more …

The fuzzy logic algorithm is an artificial intelligence algorithm that uses mathematical logic to
solve to by the data value inputs which are not precise in order to reach an accurate …