In recent years, the use of unmanned aerial vehicles (drones) for both civilian and military purposes has significantly increased. The unlimited possibilities of their use in solving a wide range of tasks, including for entertainment, makes them very attractive to people. Their uncontrolled increase also leads to an increase in unwanted incidents with them. This necessitates the introduction of regulatory requirements for their use in combination with the use of technologies to control the areas of their use. To monitor and control drones, it is necessary to develop technologies for their detection, classification, tracking and eventual blocking. In this paper, an algorithm for drone detection through image processing is proposed and explored. The detection is carried out with a multi-channel algorithm, which allows to detect objects separated at different distances from the camera. Object recognition is done using the YOLO (You Only Look Once) program, which has difficulties detecting very small objects. The experiments were conducted on standard video images and on thermal images. The advantage of infrared or thermal imaging is that it can be applied in the dark part of the day.

This article describes the developed human-robot interfaces, designed to provide user-friendly interaction between the elderly or disabled and the robot ROBCO 17. There are four possible methods for controlling the robot presented: joystick control, gesture recognition control, speech command control, and tele-control via Web user interface. Julius Open source speech recognizer based system as an alternative solution for a local automatic speech recognition system is proposed. Experiments with elderly were conducted with developed interfaces and the results are presented.

ROBCO 12 is an Intelligent Modular Service Mobile Robot for Elderly and/or Disabled Persons Care. This robot will “live” in the home of the elderly and/or disabled person and help him/her 24 hours a day. It will be able to remind him/her to take medications, it will serve food and drinks, will turn on/off electronic devices, will alert when his/her health is getting worse and will connect to his physician, relatives or with the emergency services telephone 112.

This paper presents studies of a digital twin system. A conceptual model of the system is proposed to be used to control an industrial robot and can be integrated into different fields of application such as industry, manufacturing, farming, livestock breeding and others. On the principle of software engineering, the overall architecture of the system is developed, and its constituent elements are presented in detail. A kinematic analysis of the considered industrial robot is presented. To realize the digital twin, a simulation model of the industrial robot was developed to fully meet the dimensions and kinematic characteristics of the real one. Experiments have been made on the operation of the system so as to compare the movements of the real and simulated robot. The results obtained show almost identical motions both in the end effector of the robots and in the motions of each of the joints. A short methodology for the steps of creating systems using digital twins is presented to assist developers and scientists.