Fedor Ilitchev

Papers

Total Citations

H-Index

About

Fedor Ilitchev is a researcher whose work lies at the intersection of robotics, algorithmic game theory, and pursuit-evasion dynamics. His primary contributions focus on developing strategies for capturing mobile intruders under severe information constraints—a critical challenge for security and autonomous systems. In his most-cited work, “Catching a Robot Intruder with Limited Information” (2020), Ilitchev formalizes a novel class of problems where a pursuer must intercept an evader using only sporadic, on-demand “snapshots” of the intruder’s location. This paper provides foundational solutions that balance the cost of information gathering with the probability of successful capture, offering both theoretical bounds and practical algorithms. Though early in his career, his work has already garnered attention for addressing real-world scenarios where continuous tracking is impossible—such as in adversarial environments or low-bandwidth networks. Ilitchev’s research bridges the gap between classical pursuit-evasion theory and modern robotics, opening avenues for smarter, resource-aware security protocols. His insights are particularly valuable for students and engineers designing resilient multi-robot systems or autonomous surveillance networks.