The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly
increased across a variety of applications over the past few years. This is due to the rapid …

Companies are constantly changing in their organization and the way they treat information.
In this sense, relevant data analysis processes arise for decision makers. Similarly, to …

With the rapid growth in the number of motor vehicles, traffic pollution has become an
increasingly serious problem, due to high carbon emission and low load utilization rate. It is …

This paper addresses a bearing-only formation tracking problem in robotic networks by
considering exogenous disturbances and actuator faults. In contrast to traditional position …

Multi-UAV systems are essential in accomplishing specific tasks across various research
applications. UAVs can be used in search and rescue (SR), which requires them to explore …

This paper presents a path planning approach for rotary unmanned aerial vehicles (R-
UAVs) in a known static rough terrain environment. This approach aims to find collision-free …

This paper focuses on the problem of robot rescue task allocation, in which multiple robots
and a global optimal algorithm are employed to plan the rescue task allocation. Accordingly …

To make the welding robot more reasonable and furthermore improve the productivity and
reduce costs, two intelligent algorithms for welding path optimization, genetic algorithm (GA) …

Multitask allocation and trajectory planning for multiple unmanned aerial vehicles (UAVs)
have been extensively used in various real-world applications. This article presents a …

As a typical representative of the NP-complete problem, the traveling salesman problem
(TSP) is widely utilized in computer networks, logistics distribution, and other fields. In this …