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The intense massage of asymmetric chest zones proved to provide the most efficient tool for the anti-inflammatory treatment of the patients presenting with chronic obstructive pulmonary disease in comparison with other known methods for the mechanical impact on the thoracic tissues. However, the application of this technique is limited in the patients with the hypokinetic type of systemic circulation and pulmonary hypertension. The most important advantage of chest massage by the conventional method is the possibility of its application for the treatment of the patients suffering from severe forms of COPD associated with pulmonary and systemic cardiohemodynamic disturbances with alveolar hypoxia. Manual therapy can be recommended in the first place to the patients with COPD in remission and the accompanying functional blockade of the vertebral segments.

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The problem statement and solutions for using the vision system to automate the machine learning process of a manipulation robot for constructing trajectories for tensoalgometric diagnostics of human soft tissues are considered. The research structure of the robotic system is equipped with a vision system and a power sensor. Robots to accelerate the procedures of geometric power characteristics of soft biological human tissues. The results of the work in the form of programs and algorithms are presented.