Researchers tested 40 volunteers to evaluate how collaborative robots interpret facial expressions and contextual cues. The study used Visual Language Models to help machines adjust their behavior based on human emotional states. This incremental step improves human-robot interaction. Practitioners can now integrate these emotional feedback loops into shared industrial workspaces to increase perceived reliability.