Evgenii Kruzhkov

Skolkovo Institute of Science and Technology, University of Bonn

Papers

Total Citations

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About

Evgenii Kruzhkov is a leading researcher at the intersection of robotic perception, mapping, and human-robot interaction, with a focus on making autonomous systems more efficient and intelligent. His most impactful work, **MeSLAM** (2022, 23 citations), tackles a critical bottleneck in long-term robot operation: the memory and computational cost of traditional SLAM. By introducing a neural field-based approach, Kruzhkov demonstrated how to create scalable, compact maps that enable continuous localization without unbounded resource growth—a foundational contribution to deployable robotics. Kruzhkov’s recent work pushes further into language-augmented autonomy. As a key member of the **NimbRo** team, he contributed to their **RoboCup@Home 2024 OPL victory**, integrating foundation models for perception and planning to create anthropomorphic service robots capable of executing non-predefined commands. His **LiLMaps** (2025) extends this vision, proposing learnable implicit language maps that fuse spatial geometry with semantic language representations, enabling large language models to reason about and interact with physical environments. With a growing citation footprint and a clear trajectory from efficient mapping to language-grounded robotics, Kruzhkov is shaping how future robots will understand, navigate, and serve in human spaces.