Martyna Wojnar
Papers
1
Total Citations
8
H-Index
1
About
Martyna Wojnar is a researcher at the intersection of social robotics and embedded artificial intelligence, with a primary focus on deploying efficient machine learning systems for human-robot interaction. Her most cited work, "Application of Tiny-ML methods for face recognition in social robotics using OhBot robots" (2022, 8 citations), makes a significant contribution by demonstrating how lightweight neural networks from the Tiny-ML family can be effectively integrated into social robots for real-time face recognition. This research addresses a critical challenge in social robotics: enabling robots to recognize and respond to humans without relying on cloud computing or high-power hardware. By implementing Tiny-ML on OhBot platforms, Wojnar shows how companion robots can become more autonomous, responsive, and socially aware while maintaining low energy consumption and cost. Her work is particularly notable for bridging the gap between advanced machine learning and practical, deployable social robotics, offering a scalable solution for robots designed to accompany humans in everyday social situations. Wojnar’s contributions are helping to shape the next generation of accessible, intelligent social robots.
Research Focus
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Top Papers
- 1