Industry 4.0 has brought about a new era of manufacturing that is defined by automation, interconnection, and data-driven decision-making. The fusion of human laborers and robotic systems, which ushers in the era of Human–Robot Collaboration (HRC), is one of the key features of this industrial revolution. This paper overviews HRC’s guiding principles, difficulties, and developments in Industry 4.0’s smart product manufacturing. In production environments, HRC has many advantages, such as increased flexibility, safety, and productivity. However, to fully utilize HRC, several organizational, sociocultural, and technical issues must be resolved. These problems include everything from resolving issues with job displacement and workforce training to guaranteeing smooth human–robot interaction and interoperability. Developments in artificial intelligence, robotics, and sensor technologies have made it easier to create collaborative robots, or co-bots, that can operate alongside humans. To enable secure and effective cooperation in shared workspaces, these co-bots are outfitted with sophisticated sensing capabilities, adaptive control algorithms, and safety features. Furthermore, real-time monitoring, predictive maintenance, and HRC system optimization are now possible thanks to the development of digital twins, cloud computing, and Internet of Things (IoT) technologies. Manufacturers may make better decisions, allocate tasks more effectively, and increase system performance by utilizing data analytics and machine learning approaches. The accomplishment of HRC in smart manufacturing is contingent upon cultivating a collaborative culture, advocating for human-centric design principles, and offering sufficient training and assistance to human laborers. Regulations must also change to consider the ethical and legal aspects of HRC, including liability risks, privacy concerns, and safety requirements.