Papers
1
Total Citations
2
H-Index
1
About
Iana Maksymenko is a researcher in swarm robotics and bio-inspired control algorithms, with a focus on collective behavior and autonomous coordination. 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 adapted to guide robot swarms, offering a decentralized, communication-efficient approach to group navigation. Through computer simulations, she demonstrated the algorithm's potential for improving swarm cohesion and task allocation, while also identifying key limitations that define its practical applications. Though her citation count is modest, her work contributes to the growing field of biologically inspired robotics, bridging ethology and engineering. Maksymenko’s research is particularly relevant for students and engineers interested in low-cost, scalable swarm systems, and her findings help clarify when tandem running outperforms other swarm algorithms. Her contributions highlight the value of nature-inspired solutions in advancing autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1Adaptation of the Tandem Running Algorithm to Control a Robot Swarm2 citations · 2022