This article discusses the features of the spatial processes of fast and accurate positioning
of points on the external surface of the object using the manipulation robot when executing
the sequence of technical operations. Considered, pregenerating digital models of the
external surfaces of the object. The quality of obtaining the coordinates of the points of
an object's surface, determines the accuracy of positioning the surface of an object in the
working zone. Simulation of positioning the moving points on the surface of the body in
the working zone of a robotic system to capture the object is determined relative to a
fixed point of another object, with respect to which positioning is to perform technical
operation. When it is not sufficiently accurate and fast positioning then it is required a
new surface model of an object and positioning the technical points on the surface. The
simulation in MATLAB making a conclusion about the possibility of application of fuzzy
controller for fast and accurate correction values of a small deviations from the coordinates
of selected technical points of the surface of an object in the given vectors in its orientation
and approach to the fixed point of another object.
The number of space objects will grow several times in a few years due to the planned launches of constellations of thousands microsatellites. It leads to a significant increase in the threat of satellite collisions. Spacecraft must undertake collision avoidance maneuvers to mitigate the risk. According to publicly available information, conjunction events are now manually handled by operators on the Earth. The manual maneuver planning requires qualified personnel and will be impractical for constellations of thousands satellites. In this paper we propose a new modular autonomous collision avoidance system called "Space Navigator". It is based on a novel maneuver optimization approach that combines domain knowledge with Reinforcement Learning methods.