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Krasavin, Alexander
Nazenova, Gaukhar
Kadyroldina, Albina
Alontseva, Darya
Dairbekova, Adema
Petőné Csuka, Ildikó
2025-12-04T12:40:50Z
2025-12-04T12:40:50Z
2025
http://hdl.handle.net/20.500.14044/36344
This paper presents an algorithm for approximating planar curves with conjugated circular arcs and straight-line segments. Approximation of digital planar curves using line segments and analytic curve pieces is a problem of fundamental importance in image analysis and pattern recognition. A specific variation of this problem is approximation by conjugated arcs and line segments, which also arises in robotics, particularly in motion planning. We propose an algorithmic solution to this problem, designed for the automatic generation of programs for robotic manipulators in the AS language. The originality of the method lies in employing a special representation of planar curves that is invariant under translation, rotation, and scaling. Such a representation enables the development of an optimal algorithm that automatically determines the number and placement of conjugated arcs and line segments approximating a given curve with a prescribed accuracy. The simplicity, flexibility with respect to input data, and low computational requirements of the proposed method make it suitable not only for image recognition tasks but also for robotic trajectory planning.hu_HU
dc.formatPDFhu_HU
enhu_HU
Segmentation of Flat curves for Generating Programs for a Robotic Manipulator Performing the Functions of Processing 3D Surfaces by Applying Coatingshu_HU
Open accesshu_HU
Óbudai Egyetemhu_HU
2025. November 13.hu_HU
Budapesthu_HU
Alba Regia Műszaki Karhu_HU
Óbudai Egyetemhu_HU
Műszaki tudományok - multidiszciplináris műszaki tudományokhu_HU
approximation of planar curveshu_HU
pattern recognitionhu_HU
motion planninghu_HU
roboticshu_HU
Konferenciaközleményhu_HU
PROCEEDINGS of 20th International Symposium on Applied Informatics and Related Areashu_HU
local.tempfieldCollectionsKönyvrészletekhu_HU
10.12700/AIS.2025.013
13.hu_HU
Kiadói változathu_HU
6 p.hu_HU
AIS 2025 20th International Symposium on Applied Informatics and Related Areashu_HU
978-963-449-405-8hu_HU
Óbudai Egyetemhu_HU
Budapesthu_HU


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