Dzmitry Tsetserukou

Skolkovo Institute of Science and Technology

Papers

Total Citations

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About

Dzmitry Tsetserukou is a robotics researcher whose work sits at the intersection of autonomous systems, human-robot interaction, and intelligent control. His research explores how heterogeneous robot teams — combining unmanned aerial vehicles (UAVs) and automated guided vehicles (AGVs) — can collaborate effectively in complex, real-world environments such as dynamic warehouses. A notable recent contribution is his work on SwarmVLM, which integrates Vision-Language Models (VLMs) with impedance control to enable autonomous, adaptive navigation for multi-robot swarms, demonstrating his commitment to bridging cutting-edge artificial intelligence with practical robotic deployment. Tsetserukou's research addresses fundamental challenges in modern logistics and automation, including battery limitations, payload constraints, and the need for robust coordination among diverse robotic platforms. By applying advanced control strategies guided by vision-language understanding, his work pushes toward robots that can reason about and respond to their environments with greater flexibility and intelligence. While his citation record is still growing — with recent publications already attracting early community interest — Tsetserukou represents an emerging voice in swarm robotics and AI-driven autonomous systems, making his work particularly relevant for students and researchers exploring the future of intelligent warehouse automation and collaborative robotics.