Svitlana Sotnik
Papers
6
Total Citations
47
H-Index
5
About
Svitlana Sotnik is a researcher whose work bridges the fields of computer vision, robotics, and intelligent systems. Her key research areas include object recognition algorithms, walking robot design, robotic arm trajectory planning, and semantic modeling in robotics. Sotnik’s major contributions include a generalized formalization of recognition algorithms for specialized computer systems, which enhances classifier development for object recognition. She has also provided comprehensive overviews of modern walking robots, analyzing bipedal, quadrupedal, and hexapedal designs, and has proposed a synchronous electric motor simulation with built-in permanent magnets for robotic systems, aiding in optimal engine selection. Her work on collision-free trajectory determination for robotic arms and route planning for mobile robots further advances autonomous navigation. With over 47 citations across her most-cited papers, Sotnik’s research has practical implications for industrial robotics and automation. Notably, her 2021 paper on classifier implementation has garnered 17 citations, reflecting its impact on specialized computer systems. Sotnik’s contributions continue to shape the development of efficient, intelligent robotic systems, making her a notable figure in the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modern Walking Robots: A Brief Overview11 citations · 2021
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- 5Some Interesting Features of Semantic Model in Robotic Science5 citations · 2021
- 6Some Features of Route Planning as the Basis in a Mobile Robot4 citations · 2020