Yu. S. Legovich

V. A. Trapeznikov Institute of Control Sciences

Papers

Total Citations

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About

Yu. S. Legovich investigates the intersection of complex systems theory and autonomous robotics, with key contributions in collective intelligence, distributed task structures, and heterogeneous robotic systems. Their 2017 work, "How the structure of system problems influences system behavior" (6 citations), introduces a novel lattice-based framework for understanding collective intelligence, demonstrating how the organization of tasks within distributed systems can drive emergent system-level behaviors—a foundational insight for designing adaptive multi-agent networks. In applied robotics, Legovich’s 2018 paper on "Integration of modern technologies for solving territory patrolling problems with the use of heterogeneous autonomous robotic systems" (3 citations) proposes a generalized architecture for coordinating diverse autonomous mobile robots in complex patrolling missions, addressing hardware-software integration challenges. Their 2021 study on "Flocking Control of Small Unmanned Aerial Vehicles in Obstacle Field" (2 citations) advances practical UAV swarm control by developing a grid-based navigation method that enables collision-free flocking through obstacle-dense environments. Though citation counts are modest, Legovich’s work bridges theoretical system science and real-world autonomous systems, offering scalable solutions for multi-robot coordination and task-driven collective behavior.