Evgenii Safronov

Skolkovo Institute of Science and Technology

Papers

Total Citations

H-Index

About

Evgenii Safronov is a robotics researcher whose work bridges the gap between autonomous aerial and ground systems. His primary research areas include multi-robot collaboration, precise UAV localization, and modular behavior control architectures. Safronov’s most impactful contribution is a high-precision UAV localization system for landing on a mobile collaborative robot, using infrared marker pattern recognition—a paper that has garnered 54 citations. This work enables seamless indoor coordination between unmanned aerial vehicles (UAVs) and unmanned ground robots (UGRs), advancing the field of heterogeneous robot teams. In parallel, Safronov has explored improving the reusability and modularity of Behavior Trees (BTs) through the introduction of “Node Templates,” a concept that addresses a critical gap in robotics software design. His work on BTs, though newer, lays important groundwork for more flexible and maintainable robot control systems. By tackling both low-level localization challenges and high-level behavior architecture, Safronov contributes to making autonomous robots more reliable, adaptable, and collaborative—key goals for the next generation of intelligent systems.