The slowing down of transistor scaling and explosive growth for intelligence computing
power emerge as the two driving factors for the study of novel devices and materials to …

The research of mobile robot path planning has shifted from the static environment to the
dynamic environment, from the two-dimensional environment to the high-dimensional …

While the cloudification of networks with a micro-services-oriented design is a well-known
feature of 5G, the 6G era of networks is closely related to intelligent network orchestration …

In this paper, a mathematical model and solution for performing the inventory tasks of a multi-
user, mixed warehouse in which neither satellite positioning nor other IT solutions can be …

Due to their potential to accomplish complicated missions more effectively, UAV swarms
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …

The Sine–Levy tuna swarm optimization (SLTSO) algorithm is a novel method based on the
sine strategy and Levy flight guidance. It is presented as a solution to the shortcomings of …

Developing aerial robots that can both safely navigate and execute assigned mission
without any human intervention–ie, fully autonomous aerial mobility of passengers and …

Path planning algorithms for Unmanned Aerial Vehicles (UAVs) are essential in various
domains, such as search and rescue operations, agriculture, and delivery services …

In unmanned aerial vehicle (UAV) path planning, evolutionary algorithms are commonly
used due to their ability to handle high-dimensional spaces and wide generality. However …

Drones are increasingly vital in numerous fields, such as commerce, delivery services, and
military operations. Therefore, it is essential to develop advanced systems for detecting and …