Researchers tested 40 volunteers to evaluate how robots interpret facial expressions and contextual cues. The study used Visual Language Models to help machines adjust behavior based on human mood. This incremental step improves human-robot collaboration. Practitioners can now integrate emotional context into collaborative robots to increase perceived machine competence during shared tasks.