Papers
50
Total Citations
307
H-Index
9
About
Larisa Rybak is a prominent robotics and control systems researcher whose work spans parallel robot kinematics, multi-robot coordination, and intelligent automation. Her most significant contributions lie in the geometric analysis and optimal design of parallel manipulators, where she has developed sophisticated mathematical frameworks for workspace determination, singularity zone identification, and trajectory planning. Her foundational work on approximating solution sets of nonlinear inequality systems — cited across multiple subsequent studies — provides essential tools for characterizing complex robot workspaces with precision. Rybak has also made notable strides in multi-agent systems control, co-authoring influential papers on finite-time consensus and formation control using super-twisting sliding-mode approaches under network uncertainties, collectively accumulating over 50 citations. Her applied research extends to biomedical robotics, including a neural-network-enhanced robotic system for blood serum aliquoting, bridging advanced manipulation theory with real-world laboratory automation. Her simulation work on Stewart-Gough platforms further demonstrates her range across both theoretical modeling and practical implementation. With her most-cited paper earning 29 citations and a consistent publication record from 2017 through 2023, Rybak has established herself as a versatile and impactful contributor to modern robotics research, particularly at the intersection of computational geometry, control theory, and intelligent robotic systems.
Research Focus
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Top Papers
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- 10Finding sets of solutions to systems of nonlinear inequalities9 citations · 2017