Vassili Korotkine

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About

Vassili Korotkine is a rising researcher in robotics and control theory, specializing in state estimation, nonlinear dynamics, and Lie group methods. His most significant contribution is the **Koopman State Estimator (KoopSE)** , a groundbreaking framework for model-free batch state estimation of control-affine systems. Unlike traditional approaches, KoopSE avoids linearization assumptions and problem-specific feature selections, making it highly generalizable and computationally efficient—its inference cost remains independent of the number of training samples. This work, published in 2021, has already garnered 12 citations, signaling strong interest from the estimation and control communities. Korotkine also developed **navlie**, a Python package for state estimation on Lie groups, released in 2023. This tool enables rapid prototyping of navigation algorithms by allowing state definitions on manifolds, reflecting the growing adoption of Lie group theory in robotics. With 2 citations to date, navlie is poised to become a valuable resource for researchers and practitioners. Korotkine’s work bridges theory and practice, offering elegant solutions to complex estimation problems while emphasizing accessibility through open-source tools. His research is particularly impactful for autonomous systems, robotics, and aerospace applications.