About

Yu. N. Artemenko is a specialist in the dynamics and control of complex mechanical systems, with a particular focus on manipulator robotics and spacecraft payload pointing. Their research addresses the challenging problem of modeling manipulator dynamics that include a movable platform, a contribution that has garnered 14 citations and provides a foundation for more accurate robotic control in mobile environments. Artemenko has also advanced the synthesis of control strategies for hinged bodies, enabling the precise movement of an orientable body to a required absolute position—work that is critical for space applications and has been cited 9 times. Additionally, they have explored self-learning neural network control systems for active vibration isolation and payload pointing in spacecraft, demonstrating an innovative integration of machine learning with physical models. This work, though with 3 citations, highlights a forward-looking approach to adaptive control. Artemenko’s contributions are essential for improving the autonomy and precision of robotic and space systems, making their research valuable for engineers and scientists working on advanced control theory and space robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Features of Manipulator Dynamics Modeling into Account a Movable Platform
14 citations · 2015
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Astro Space Center, P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Russian Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago