Nino Hubanova

National Technical University "Kharkiv Polytechnic Institute"

Papers

Total Citations

H-Index

About

Nino Hubanova is a researcher in swarm robotics and autonomous systems, with a focus on bio-inspired algorithms for multi-agent coordination. Her most-cited work, "Tandem Running Algorithm with Route Selection" (2024), explores how swarms of robots can optimize path planning using a model inspired by the tandem-running behavior of ants. In this study, she demonstrates that while the tandem running algorithm enables partial route optimization, it inherently limits full optimality due to the constraints of decentralized decision-making. This contribution sheds light on the trade-offs between simplicity and efficiency in swarm intelligence, offering valuable insights for designing scalable robotic systems. With 2 citations to date, her work is gaining traction among researchers in robotics and artificial intelligence. Hubanova’s research addresses critical challenges in autonomous navigation and collective behavior, positioning her as an emerging voice in the field. Her findings have practical implications for applications such as search-and-rescue missions, environmental monitoring, and industrial automation, where efficient route selection is paramount.