Papers
3
Total Citations
35
H-Index
3
About
Yuliy Baryshnikov is a mathematician and engineer whose work bridges topology, sensor networks, and robotics. His key research areas include topological data analysis, sensor fusion, and origami-inspired engineering. A major contribution is his foundational work on target enumeration over planar sensor networks (2008–2009, ~28 citations combined), where he solved the problem of counting observable targets using only local sensor counts—without identities or positional data—by applying integration over sensor fields. This theory is robust to noise and has implications for surveillance, environmental monitoring, and distributed sensing. More recently, Baryshnikov co-developed CurveQuad (2023, 7 citations), a centimeter-scale origami quadruped that self-folds and crawls using a single motor, leveraging curved creases for planar manufacturing. This work showcases his ability to translate abstract geometric principles into functional, minimalist robots. With over 35 citations across his most-cited papers, Baryshnikov’s research demonstrates a rare combination of deep mathematical theory and practical engineering, making him a notable figure in applied topology and soft robotics.
Research Focus
Key Achievements
Top Papers
- 1Target Enumeration via Integration over Planar Sensor Networks16 citations · 2008
- 2Target Enumeration via Integration Over Planar Sensor Networks12 citations · 2009
- 3