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About

Yaroslav Marchukov’s research lies at the intersection of multi-robot systems, communication-aware planning, and resilient coordination under connectivity constraints. His work addresses a fundamental challenge: how to deploy teams of robots to reach critical locations while maintaining reliable communication links to a base station, even in unpredictable environments. In his most cited paper, “Communication-aware planning for robot teams deployment” (2017, 6 citations), Marchukov introduced a planning framework that accounts for obstacles and limited communication range before robot deployment. He further advanced the field with a distributed method for connectivity recovery after sudden environment changes, such as new obstacles, in his 2019 work (5 citations). His scalable deployment planning approach (2019, 3 citations) efficiently establishes relay positions to ensure information reaches a static base station. Marchukov’s contributions are vital for real-world applications like search-and-rescue and environmental monitoring, where robot teams must operate autonomously in dynamic, communication-constrained settings. With a focused body of work that prioritizes practical, scalable solutions, Marchukov has laid important groundwork for robust multi-robot coordination.