D. D. Kulminskiy
Sirius University of Science and Technology, Weatherford College
Papers
3
Total Citations
27
H-Index
2
About
D. D. Kulminskiy is a researcher whose work bridges nonlinear dynamics, robotics, and computational neuroscience. His primary research areas include multistable oscillatory systems, kinematic calibration of industrial manipulators, and spiking neural networks. Kulminskiy’s most notable contribution is the development of a central pattern generator based on a self-sustained Van der Pol oscillator coupled to passive oscillatory circuits, a system that exhibits multistable regimes whose number scales with the number of passive oscillators. This work, published in 2022 and garnering 22 citations, offers a tunable framework for generating complex rhythmic patterns, with potential applications in robotics and locomotion control. In robotics, he has pioneered a practical, fully automated kinematic calibration method for industrial manipulators that eliminates the need for external measurement devices by using a plane constraint and electrical contact detection. Additionally, Kulminskiy has explored the use of networks of coupled FitzHugh–Nagumo neuronlike oscillators to estimate parameters of external periodic impulse actions, contributing to the field of spiking neural computation. His work demonstrates a unique ability to translate theoretical nonlinear dynamics into tangible engineering solutions, making him a versatile and impactful figure in applied mathematics and robotics.
Research Focus
Key Achievements
Top Papers
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