Alina D. Rozenblit
Papers
5
Total Citations
18
H-Index
3
About
Alina D. Rozenblit is an emerging researcher at the intersection of active matter physics and robotic swarm systems, pioneering the use of miniature vibration-driven robots — known as bristle-bots — as experimental platforms for studying complex collective phenomena. Her work bridges fundamental physics and robotics engineering, focusing on how simple self-propelled and self-rotating particles give rise to rich emergent behaviors characteristic of non-equilibrium systems. Rozenblit's most recognized contribution, "Optimizing self-rotating bristle-bots for active matter implementation with robotic swarms" (2021, 7 citations), established design principles for engineering bristle-bot systems that faithfully replicate active matter dynamics at accessible scales. Alongside this, her investigations into micellization — the spontaneous clustering of asymmetric self-propelled particles into micelle-like structures — represent a particularly novel discovery, drawing parallels between biological self-organization and robotic swarms. Her statistical analyses of swarm behavior further demonstrate how quantitative physical insights can be extracted from these robotic platforms. More recently, she developed Swarmodroid and AMPy, a reconfigurable hardware-software toolkit lowering barriers for researchers entering robotic active matter experimentation. With a growing citation record and contributions spanning experimental design, statistical physics, and open-source tools, Rozenblit is establishing herself as a creative and technically versatile voice in the active matter community.
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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