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About

Palina Bartashevich is a researcher whose work sits at the intersection of swarm robotics, collective decision-making, and biohybrid systems. Her primary contributions focus on developing novel Particle Swarm Optimization (PSO) algorithms for aerial micro-robots operating in dynamic, unknown environments—particularly those affected by external forces like wind. Her most influential work, the Navigation Wind PSO (NW-PSO), addresses the critical challenge of energy-efficient navigation for battery-limited aerial swarms, introducing multi-criteria decision-making to balance search performance with power conservation. This paper has garnered 11 citations, establishing a foundation for her subsequent research. Bartashevich further advanced the field with the Vector Field Map PSO (VFM-PSO), a multi-swarm approach that enables collective search under unknown disturbances. Her work extends beyond engineering into animal-computer interaction, as evidenced by her 2025 paper on biohybrid approaches for animal behavior research. She has also explored how environmental changes can positively influence self-organized decision-making, demonstrating that not all external biases are detrimental. With a growing citation record and a portfolio spanning from algorithmic optimization to interdisciplinary biohybrid systems, Bartashevich is shaping how swarms interact with and adapt to complex, real-world environments.