This study explores Human-Robot Interaction (HRI) by investigating user experiences with two types of robots: Pepper, a social humanoid robot, and Double 3, a self-driving telepresence robot. Conducted in a controlled setting with a specific participant group, this research aims to understand how different robot embodiments affect user perception, interaction patterns, and emotional responses. The findings underscore the role of adaptability, effective communication, autonomy, and perceived credibility in user-centered robot design. Despite limitations in sample size, the study provides insights into the ethical and social considerations of integrating AI in public and professional spaces, highlighting implications for enhancing user-centered design and expanding applications for Social and Telepresence robots in society.