Nikita Filippov
Papers
1
Total Citations
10
H-Index
1
About
Nikita Filippov is a researcher in human-robot interaction, with a focus on developing more natural and socially aware robotic systems. His work centers on enabling robots to understand and produce subtle conversational cues, particularly backchanneling behaviors—the nods, vocalizations, and gestures that signal active listening and engagement. In his most-cited paper, "Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations" (2021, 10 citations), Filippov introduces a novel approach that uses data augmentation from human-human dialogues to train robots to respond appropriately in real-time. This contribution addresses a critical challenge in social robotics: making interactions feel fluid and intuitive rather than mechanical. By leveraging existing conversational datasets and augmenting them to model diverse backchanneling patterns, his work provides a scalable method for improving robot social skills without requiring extensive new data collection. Filippov’s research has implications for assistive robotics, education, and customer service, where natural interaction is key. His approach stands out for its practical, data-driven methodology, offering a pathway toward more empathetic and responsive machines.
Research Focus
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Top Papers
- 1