In the presented paper, detailed schematics and descriptions concerning communication in the context of swarm drone control are introduced. Methods and technologies behind them are discussed. The implementation of the presented concept was verified through a series of tests. Simulation results which confirm the effectiveness and efficiency of the proposed solutions are presented. The obtained results prove the correctness implementation of the presented methods and also demonstrate the benefits derived from the proposed approach. The presented concept of controlling a swarm of drones represents the current state of knowledge and technology in the field of drones and their control. By utilizing advanced communication technologies, positioning, and analysis of communication structures, this work makes a significant contribution to the UAV (Unmanned Aerial Vehicle) field.

This paper presents an environment simulator dedicated to assess the behavior of Automated Guided Vehicles in industry. The concept proposed in this framework makes it possible to evaluate the hazards that can occur in an industrial plant. Conducting all of the necessary research in a natural environment requires a great deal of time and is very expensive. A simulation environment reduces the costs and also reduces the burden of the verification process of an AGV operation. This study presents an assessment of simulation environments based on the most proven solutions. The analysis were conducted from the point of view of the requirements that have been set by industry. As a result, the authors built the evaluation environment that was based on the Gazebo simulator.

This article presents the comparative analysis of various JavaScript libraries, providing the possibilities of web-based geo-visualization, that can be applied in the case of AGV (Automated Guided Vehicle) working in the open area using GNSS (Global Navigation Satellite Systems) localization systems. A representative group of JS libraries has been selected for analysis. We focused on libraries that enable map generation with the use of the Scalable Vector Graphics format. Their performance issues and development potential are compared.