FIELD: robotics.
SUBSTANCE: invention relates to the field of robotics devices. Method of capturing an object using a robotic device, in which a robotized device is trained using a machine learning algorithm for recognizing and memorizing object capture points, wherein training is performed on data characterizing photographic images of objects and corresponding 3D models of objects in different views; forming at least one capture point of an object presented on a graphic image of the object; obtaining a photographic image of an object using a camera of the robot device and determining a view which displays the formed object capture point; obtaining a three-dimensional cloud of object points in the view using a robot device depth sensor; location of the object capture point is determined from the obtained cloud of points; determining the orientation and position of the gripping device of the robot device in the gripping point by calculating rotary matrices of the robot device; object is captured using a robotic device based on calculating averaged rotation matrix for a given capture point.
EFFECT: technical result consists in improvement of accuracy of recognition of area of object capture by robot device.
17 cl, 9 dwg
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Authors
Dates
2019-09-20—Published
2019-03-21—Filed