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Currently, the problem of increasing the efficiency of the use of forest resources is urgent. One of the factors affecting the efficiency of the use of forest resources is the quality of the human capital of the forest sector.It is necessary to develop the key competencies of employees and future employees of the forestry sector using various forms of training. In recent years, forestry education has been actively developing based on the use of the digital technologies. The article presents the results of surveys of students on their perception of a new form of education, students’ assessment of the possibility of high-quality mastering of material in distance learning and the difficulties they face. Conclusions are also made on how digitalization of forestry education will improve the efficiency of the human capital of forest sector organizations which will affect the efficiency of the use of forest resources in Russia.

The article describes modifications to the effector of a manipulator arm proposed in order to increase the accuracy of jaw force measurements. Gripping force measurement is performed using strain gauges. Their proper positioning and connection minimize not only the influence of the position of the centre of gravity of the manipulation object on the jaws but also the effect of temperature changes around the measuring area. The possibility of altering the magnitude of gripping force was incorporated into the robot control application. This greatly increases the security of handling and increases the number of items that can be possibly gripped. Modified effector parts were subjected to stress analysis, with emphasis on the elimination of stress peaks that would not occur in real parts. The article also describes the design of the mechanical modification of the effector, which would allow the continuous rotation of the jaws of the effector.

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Contex.The actual task of forecasting an individual resource of a variety of design and design of technical systems was solved. Objective. The purpose of the work is to develop a methodology for managing the operation of complex technical systems based on the forecasting of their individual resource.Method. Modern management methods allow you to make advance management decisions to prevent accidents and the consequent technogenic catastrophes. These decisions are based on extrapolating the value of the monitored signal to the maximum permissible level. However, the norms are compiled based on average statistical data, which can only relate to a controlled sample of the machine with a certain degree of probability. This is the cause of errors in predicting the moment when this sample is stopped for repairs. This problem is especially urgent for complex and responsible technical systems manufactured in small series or even in single specimens. Such systems do not have statistical data to create these norms.To solve this problem, another management methodology was developed that excludes the extrapolation procedure and allows determining the operating time of the technical system prior to repair based on the identification results of the model, describing the time variation of the value of the monitored parameterResults. The methodology of management of technical systems is developed, ensuring the control of their current technical condition based on information on their individual resource. The methodology was used to control the gradual deterioration of the technical state of the hydro turbine, which resulted in its catastrophic destruction.Conclusions. The performed calculations confirmed the efficiency of the proposed methodology for managing the operation of technical systems based on the forecasting of their individual resource, which makes it possible to recommend it for use in practice when solving problems of controlling the operation of complex technical systems, thus preventing their accidents, often leading to man-made disasters. Prospects for further research will be the development of a forecasting -diagnostic complex, the software of which reflects the algorithm for applying the developed methodology of forecasting an individual resource of various designs and designation of technical systems.Keywords: control, individual resource, software product, rotor systems, resource forecast, identification, information signal trend, mathematical model, defect-free period, condition of supervised equipment. is operating time of the machine at the time of the current control; NOMENCLATUREР is the machine reliability;