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Of all publications in the section: 2
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Article
A. A. Vnykov, Shabnom M. Advances in the Astronautical Sciences. 2017. Vol. 955. P. 921-940.

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.

Added: Mar 17, 2018
Article
Gremyachikh L., Dubov D., Kazeev N. et al. Advances in the Astronautical Sciences. 2020. Vol. 170. P. 305-319.

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.

Added: Oct 10, 2019