The aim of this article is to propose a conceptual framework for understanding how service robot attributes, specifically perceived intelligence and perceived warmth, influence customer satisfaction. This framework integrates insights from customer value hierarchy theory, consumption motivation, and customer engagement to explain the differing impacts of these attributes on customer experiences. More importantly, consumption motivation is introduced as a moderator between robot attributes and customer satisfaction, while customer engagement serves as a mediator in this relationship. The proposed framework extends existing research by emphasizing the dual-path effects of perceived intelligence and warmth, providing a more nuanced understanding of how these attributes affect customer satisfaction in service-oriented industries like hospitality and retail. This article also contributes to the service robot literature by offering actionable insights for businesses on how to design and deploy robots that align with both utilitarian and hedonic customer motivations. From a practical perspective, the findings offer valuable implications for service providers aiming to leverage robots to enhance customer experiences and drive satisfaction.