Ava Megyeri
Papers
2
Total Citations
8
H-Index
2
About
Ava Megyeri is a researcher at the forefront of human-robot interaction, with a specialized focus on the dynamics of object handovers. Her work bridges the gap between human-human coordination and seamless robotic assistance. Megyeri’s key research areas include human-robot collaboration, motion timing analysis, and multimodal interaction datasets. Her major contribution lies in deconstructing the subtle timing relationships between giver and receiver during the pre-handover phase, providing a quantitative framework that enables robots to anticipate and synchronize with human partners more naturally. This work, published in 2024, has already garnered 4 citations for its practical insights into safety and fluency. Equally impactful is her creation of the HOH (Human-Object-Human) Handover Dataset, a landmark resource featuring 136 objects captured through markerless multimodal sensing. This dataset, also with 4 citations, accelerates data-driven research by supporting AI models for handover parameter estimation from 2D and 3D data. Together, Megyeri’s contributions are shaping a future where robots can hand over objects with the intuitive grace of a human partner, making her a rising voice in assistive robotics and collaborative AI.
Research Focus
Key Achievements
Top Papers
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- 2