Nikita A. Olekhno
Papers
5
Total Citations
18
H-Index
3
About
Nikita A. Olekhno is a rising experimental physicist at the forefront of active matter research, pioneering the use of robotic swarms as a platform to probe the fundamental physics of non-equilibrium systems. His work centers on designing and controlling self-propelled and self-rotating bristle-bots—simple, centimeter-scale robots—to emulate the complex collective behaviors seen in biological and soft-matter systems. Olekhno’s major contributions include the development of reconfigurable robotic platforms and open-source software (e.g., Swarmodroid and AMPy) that enable high-throughput, reproducible studies of active matter. He has experimentally demonstrated micellization in asymmetric self-propelled particles, revealing how simple rules of motion lead to emergent self-organization such as cluster formation and phase separation. His research also explores statistical correlations and topological excitations within robotic swarms, providing new insights into motility-induced phase separation and phototaxis-like behavior. With papers accumulating over a dozen citations in just a few years, Olekhno’s work is gaining traction for its innovative blend of robotics and statistical physics. His achievements include creating scalable, low-cost experimental setups that bridge the gap between theoretical models and real-world active matter, making him a key figure in this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
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- 3Statistical Correlations in Active Matter Based on Robotic Swarms4 citations · 2021
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