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About
Artem Otelepko is a robotics researcher whose work lies at the intersection of 3D perception, human-robot interaction, and autonomous navigation. His primary research focuses on enabling robots to perceive and understand people in their immediate surroundings using advanced LiDAR sensors. In his highly cited 2025 paper, Otelepko introduced a novel approach for person segmentation and action classification tailored to multi-channel, hemisphere field-of-view LiDAR sensors—a critical capability for safe and intuitive human-robot collaboration. By recording a custom dataset with the Ouster OSDome-64 sensor, he addressed a key gap in existing perception systems, which often struggle with the unique geometry and coverage of such sensors. His work has already garnered attention in the field, with early citations reflecting its practical importance for real-world robotics applications. Otelepko’s contributions are particularly notable for bridging the gap between sensor hardware limitations and robust, real-time perception, paving the way for more responsive and safer autonomous systems. His research continues to shape how robots interact with humans in dynamic, unstructured environments.
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