Few-Shot Inference of Human Perceptions of Robot Performance in Social Navigation Scenarios

This article, sourced from ArXiv, focuses on using few-shot learning to understand how humans perceive robot performance in social navigation. The research likely explores how well AI models can predict human judgments of robot behavior with limited training data. The topic aligns with the intersection of robotics, AI, and human-computer interaction, specifically focusing on social aspects.