Oleksandr Andreiev

National Technical University "Kharkiv Polytechnic Institute"

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About

Oleksandr Andreiev is a researcher focused on bio-inspired algorithms for decentralized robot swarm control. His work centers on adapting collective behaviors observed in nature—specifically ant colony and tandem running algorithms—to coordinate multi-robot systems without centralized management or direct communication. In his most cited paper, "Adaptation of the Ant Algorithm to Control a Robot Swarm" (2020, 7 citations), Andreiev demonstrated how local interactions alone can guide swarm members, highlighting key advantages such as scalability and robustness. He further advanced this line of inquiry by introducing mutual exclusion mechanisms for close-proximity coordination ("Ant Algorithm with Mutual Exclusion," 2023) and by addressing route optimization limitations in tandem running algorithms ("Tandem Running Algorithm with Route Selection," 2024). Despite the emerging nature of his work, Andreiev’s contributions are carving a niche in swarm robotics, offering practical frameworks for deploying robot teams in environments where communication is constrained. His research is particularly relevant for applications in search-and-rescue, environmental monitoring, and autonomous exploration, where decentralized, resilient control is essential.