Tetiana Diachenko

National Technical University "Kharkiv Polytechnic Institute"

Papers

Total Citations

H-Index

About

Tetiana Diachenko is a researcher in swarm robotics and bio-inspired control algorithms, with a particular focus on collective behavior and autonomous systems. Her most-cited work, "Adaptation of the Tandem Running Algorithm to Control a Robot Swarm" (2022), explores how the tandem running behavior observed in ants can be effectively translated into a decentralized control mechanism for robot swarms. In this study, Diachenko systematically evaluates the algorithm’s strengths and limitations, identifying key factors that influence its scalability and efficiency in real-world applications. Through rigorous computer simulations, she demonstrates the algorithm’s viability for coordinating multiple robots without centralized oversight, offering a lightweight and robust alternative to traditional swarm control methods. While her citation count is still growing—reflecting the early stage of her career—her work contributes to the broader field of bio-inspired robotics, where natural systems inspire innovative engineering solutions. Diachenko’s research holds promise for applications in search-and-rescue, environmental monitoring, and distributed sensing, where simple, adaptive rules can lead to complex, intelligent group behaviors.