Researchers tested 40 volunteers to evaluate how collaborative robots interpret facial expressions and situational context. 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 contextual emotional cues to refine robot responsiveness during shared physical tasks.