Eryka Probierz

About

Eryka Probierz is a researcher at the forefront of social robotics, specializing in the integration of artificial intelligence to enhance human-robot interaction. Her work centers on two key areas: applying Tiny-ML methods for efficient, on-device face recognition and developing context-aware emotion detection systems. In her most cited work, "Application of Tiny-ML methods for face recognition in social robotics using OhBot robots" (2022, 8 citations), she demonstrates how lightweight neural networks can enable robots like OhBot to identify faces in real-time, a critical step for natural social engagement. Expanding on this, her 2023 paper "On Emotion Detection and Recognition Using a Context-Aware Approach by Social Robots– Modification of Faster R-CNN and YOLO v3 Neural Networks" (2 citations) argues that analyzing facial expressions alone is insufficient; robots must also interpret environmental context to accurately classify emotions and respond appropriately. This dual focus on efficiency and contextual intelligence positions Probierz as a contributor to more adaptive, empathetic social robots. Her research, though early in citation impact, addresses fundamental challenges in making robots truly responsive companions in human settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Application of Tiny-ML methods for face recognition in social robotics using OhBot robots

   8 citations · 2022
2. 2
   On Emotion Detection and Recognition Using a Context-Aware Approach by Social Robots– Modification of Faster R-CNN and YOLO v3 Neural Networks

   2 citations · 2023

Key Collaborators

Contact & Links