Liubov Shilova

Papers

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About

Liubov Shilova is a researcher at the forefront of human-robot interaction, with a primary focus on developing socially-compliant navigation for service robots. Her key research areas include benchmarking frameworks for autonomous systems and human-centered robotics design. Shilova’s most notable contribution is her 2023 paper, “Human-centered Benchmarking for Socially-Compliant Robot Navigation,” which has garnered 8 citations. In this work, she proposes an end-to-end benchmarking framework that evaluates how robots navigate in human environments while adhering to social norms—a critical parameter for service robots that directly impacts the quality of human-robot interaction. By open-sourcing her framework, Shilova has provided the robotics community with a standardized tool to assess and improve robot behavior in shared spaces. Her work addresses the growing need for robots that can seamlessly integrate into human-centric settings, such as hospitals, airports, and homes. Shilova’s research is particularly impactful for students and engineers working on autonomous navigation, as it bridges the gap between technical performance metrics and real-world social acceptability. Her contributions are paving the way for more intuitive and trustworthy robotic assistants.