Ilia Polusin
Papers
1
Total Citations
3
H-Index
1
About
Ilia Polusin is a researcher whose work lies at the intersection of control theory, robotics, and autonomous navigation. His most notable contribution, the 2021 paper "Hybrid Feedback for Autonomous Navigation in Environments with Arbitrary Convex Obstacles," addresses a fundamental challenge in robotics: ensuring a robot can reliably reach a target in a cluttered environment. Polusin’s key innovation is the use of a hybrid feedback controller—a system that switches between different control laws—to guarantee global asymptotic stabilization. This means the robot is mathematically assured to converge to its goal from any starting position, even when surrounded by obstacles of arbitrary convex shapes. While his citation count is still growing, the theoretical rigor and practical significance of this work have established him as an emerging voice in the field. His approach offers a robust alternative to traditional path-planning methods, which often rely on global maps or suffer from local minima. For students and researchers, Polusin’s work is a compelling example of how elegant control-theoretic solutions can solve complex real-world navigation problems, paving the way for safer and more reliable autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1