Vladislav Cherkasov
Papers
4
Total Citations
15
H-Index
2
About
Vladislav Cherkasov is a researcher focused on the intersection of robotics, automation, and biomedical engineering. His primary research areas include trajectory planning, robotic manipulation, and the development of automated systems for biomaterial handling. Cherkasov’s most significant contributions center on designing robotic systems for biomaterial aliquoting—a critical process in biosample management. He has developed gripping devices based on globoid transmissions for robotic aliquoting systems, addressing the growing shortage of high-quality biosamples. His work on trajectory planning algorithms, synthesized using evolutionary optimization, has garnered 7 citations, highlighting its relevance in advancing robotic efficiency. Cherkasov has also explored robot interaction within collaborative systems, proposing methods to avoid collisions between parallel and serial manipulators. Additionally, his application of YOLO neural networks for blood serum recognition demonstrates a novel integration of AI into robotic aliquoting. With a total of 15 citations across his most-cited papers, Cherkasov’s research is steadily gaining recognition for its practical impact on laboratory automation and biomedical robotics.
Research Focus
Key Achievements
Top Papers
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