The article explores the interaction of Tello EDU, a small-sized educational drone, with Turtlebot3, an unmanned ground vehicle, in rooms with a weak signal. The article examines how, using a local network and the robot operating system (ROS), it is possible to achieve effective collaboration between these two devices. It analyzes how a local network can be used to broadcast data and monitor devices in conditions of a weak external signal. The role of ROS as the main tool for managing and interacting with devices is being investigated. In addition, the article examines specific use cases, including interaction and coordination between Tello EDU and Turtlebot3. A diagram of the interaction of two unmanned vehicles is also presented, a detailed description of their operation is described, and Python code is presented using various libraries based on the ROS robotic operating system.

Keywords: Tello Edu, operating system (ROS), UAV, local area network, Wi-fi, nodes, SLAM, weak signal, route planning, autonomous robot, Turtlebot3

The movement of robotic systems can occur in conditions of interference disturbances, different in quality and power. In this case, the actual task is to correct the initial planned trajectory of the robot's movement in order to evade the latter from the action of these sources in order to maximize some quality functionality. It is advisable to associate the latter with the probability of successful passage of the target trajectory in the field of interference effects. The peculiarity of such an adjustment is the complexity of optimizing the corresponding probability functionals, which leads to the need to develop approximate optimization methods based, however, on a fairly accurate calculation of the probabilities of successful passage for each specific trajectory. In this article, we propose such an approximate correction technique that allows us to effectively bypass interference sources defined by their known areas of action and characteristic probabilistic functions. This technique is based on an iterative procedure of successive approximations to such a trajectory, which has a given probability of successful passage. The developed technique can be effectively integrated into the movement planner of robotic objects moving in conditions of obstacles with fixed boundaries, as well as corresponding repeller sources, information about which allows us to estimate with sufficient accuracy the probability of successful passage of any trajectories in their vicinity at a given speed mode of movement.

Keywords: robotics complex, repeller sources, motion planning, probability of successful completion, iterative procedure, target functionality

This article proposes a method for correcting the intermediate trajectory obtained by one of the planning methods, taking into account the limitations on the linear velocity and acceleration of the apparatus, as well as on the angle of its pitch. This technique is combined with the smoothing procedure, which includes the stage of minimizing the length of a piecewise polyline trajectory and rounding the corners at the vertices with the construction of a smooth time parametric representation of it using the modified Dubins method.

Keywords: robotics complex, unmanned aerial vehicle, stability and controllability of the vehicle, motion planning, local adjustment of the planned trajectory, reduction of energy costs