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About

Evgeniya A. Slepynina is a leading researcher in intelligent robotics and multi-agent systems, with a focus on adaptive control, navigation, and real-time communication. Her most impactful work, "Adaptive control of a multi-robot system for transportation of large-sized objects based on reinforcement learning" (17 citations), introduces novel models and algorithms that enable a team of autonomous mobile robots to collaboratively transport oversized objects through complex environments, dynamically avoiding obstacles while maintaining formation. This contribution advances the frontier of cooperative robotics for industrial and logistics applications. Slepynina also developed a conceptual navigation system for intelligent mobile robots (16 citations), enhancing position accuracy and group control for indoor autonomous platforms. Notably, she has pioneered the integration of Ethernet POWERLINK fieldbus with the Robot Operating System (ROS) for real-time control, publishing a two-part study (totaling 13 citations) that analyzes latency and jitter, proposing hardware-software solutions to improve determinism. Her work bridges theoretical reinforcement learning with practical, real-time robotic systems, making her a key figure in the evolution of responsive, multi-robot coordination.