Natalia Efremova
Papers
1
Total Citations
3
H-Index
1
About
Natalia Efremova’s research centers on human-robot interaction, with a particular focus on auditory immersion and telepresence systems. Her work explores how sound can enhance the sense of presence for remote operators, bridging the gap between physical and virtual environments. In her most cited paper, “Auditory Immersion with Stereo Sound in a Mobile Robotic Telepresence System” (2015), she investigates sound source localization (SSL) as a critical factor for improving operator experience. By demonstrating how stereo audio cues can help users intuitively locate and interact with their surroundings, Efremova contributes to making telepresence robots more effective tools for remote collaboration. Though her citation count is modest, her research addresses a niche but vital aspect of robotics—how auditory feedback shapes user perception and performance. Her work has practical implications for fields like telemedicine, remote inspection, and social robotics, where realistic audio feedback is essential. Efremova’s focus on the sensory dimensions of teleoperation highlights the importance of multimodal design in creating truly immersive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1