Iaroslav Okunevich

Université de Bourgogne, Skolkovo Institute of Science and Technology, Université de technologie de belfort-montbéliard

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About

Iaroslav Okunevich is a robotics researcher advancing the frontier of socially compliant robot navigation and autonomous service systems. His work centers on developing human-centered benchmarks and open-source frameworks that enable robots to perceive, interact with, and adapt to people in real-world environments. Okunevich’s most impactful contribution is the “Human-centered Benchmarking for Socially-Compliant Robot Navigation” (2023, 8 citations), which proposes an end-to-end evaluation framework for measuring social compatibility—a critical parameter for service robots. He also led the development of UltraBot (2021, 8 citations), an autonomous mobile robot designed for UV-C disinfection during the COVID-19 pandemic, demonstrating practical deployment of robotics for public health. His recent work on “Online Context Learning for Socially Compliant Navigation” (2025) tackles the challenge of adapting robot behavior to unpredictable human factors and environmental contexts, moving beyond traditional learning-based methods. Okunevich’s commitment to open-source solutions is evident in his software-hardware integration scheme for embodied human perception (2024), which provides accessible tools for the research community. With a focus on bridging perception, navigation, and real-world deployment, Okunevich is shaping the next generation of robots that can coexist safely and effectively with humans.