Gold is a precious metal that attracts the attention of authors from various fields. Due to its wide application in various industries, it is a very important resource for the business of many companies. In this paper, the price of gold was predicted for a period of one year, based on historical data, for approximately five years. Price forecasting was performed based on the Monte Carlo method, and the simulation itself was performed in the MATLAB software. The aim of this paper is to help the management of companies for which gold is a significant resource in planning and making business and financial decisions. The result of the forecast allows the management to create different scenarios to be ready to react to almost any situation on the market, and thus to maintain the position of the company they lead.

This paper presents an innovative method for determining the distribution of the friction generated heat from the contact of a locomotive wheel and rail, as well as the heat partition factor, during wheel slipping of an accelerating locomotive. The new method combines the finite element analysis simulation and experimental determination of the temperature distribution in a downsized model of a wheel and rail. As a result of a virtual experiment by the finite element analysis, an empirical dependence between the temperature distribution and the heat partition factor was established. The determination of the dependence enabled finding of the exact value of the heat partition factor by the optimization procedure based on matching temperatures obtained by the virtual and real experiment.

The progress of modern technology can make robots more useful, more efficient and applicable in different areas. Swarm robots, which are autonomous, cooperative, self-organized, and coordinated groups of robots, are one of the rapidly expanding areas of robotics. There are many different swarm robots examples in the industry, as well as in scientific research, and every robotic unit in most of these examples is not physically connected to other robotic units. There are much fewer examples of a group of robots where there is some physical connection in the form of a rope or tow link between two robots. Connecting several robots by wire or rope, where a wire is maintained to be tightened, can form moving fence. This system can be used as an autonomous system for herd keeping and breeding - RoboShepherd. Dynamics of such robotic system can be complex. This paper presents multi body dynamics simulation of the off-road robotized vehicle in the RoboShepherd system.

The use of robots in various industries has increased significantly in recent years, with mobile robots playing a central role in automation. Their applications range from service robotics and automated material handling to bomb disposal and planetary exploration. A rapidly growing area of mobile robotics involves coordinated groups of autonomous robots, commonly referred to as swarms. However, only a limited number of studies have addressed systems in which ropes or wires physically connect robots. Connecting multiple autonomous robotic vehicles with a tensioned wire can form a movable fence, enabling coordinated motion as a single dynamic entity. This paper presents a real-time control approach for the off-road motion of physically connected skid-steering robotic vehicles. A numerical-simulation-driven artificial neural network is employed as a surrogate model to estimate wheel–ground load distribution online, enabling stable steering control and accurate trajectory tracking on rough terrain while accounting for wire-induced coupling effects.

Areas of application for various types of robots are now diverse, ranging from healthcare, support for the elderly or surgery, to autonomous and driverless vehicles (wheeled or flying) or assistance with driving. Recently, there has been increased interest in the use of robots in gardening and agriculture. Robots are increasingly being used in groups rather than alone to perform tasks as they become more commonplace in our daily lives. Swarm robots, i.e. groupings of self-organised, autonomous, cooperative and coordinated robots, are one of the fastest growing topics in robotics. A group of off-road robotized vehicles, where each robot is connected by a wire to the two adjacent robots forming a closed polygon, can form a kind of movable fence. This system can be used as an autonomous system for herd keeping and breeding – RoboShepherd. In order to achieve precise navigation of this complex system, on a non-flat slippery surface, precise heading of each robotized vehicle is crucial. This paper presents a method used to accurately estimate the heading of each robotic vehicle in the RoboShepherd system.

This paper presents a quasi-static analytical model for normal force distribution in a skid-steering mobile robot operating on uneven terrain. The model accounts for terrain inclination through pitch and roll angles, enabling the analysis of load transfer between wheels. In addition, interaction forces arising from wire connections are incorporated, extending the formulation to physically connected multi-robot systems. Unlike conventional models that consider isolated robots, the proposed approach captures internal coupling effects introduced by flexible links. The model is based on equilibrium equations and provides explicit expressions for normal forces as functions of terrain and system parameters. The formulation is particularly suitable for systems such as RoboShepherd and provides a foundation for further dynamic analysis and control design in off-road multi-robot applications.