Transformer Models

Human-Robot Interaction (HRI) has become an essential area that combines AI, robotics, affective computing, and healthcare technologies. This study considers the application of artificial intelligence (AI) in managing emotional connections, multisensory interaction, and psychological support in robot-led pregnancy systems. This article focuses on emotional recognition systems, multisensory communication, biosensors, adaptive robotics, ethical questions, social acceptance issues, and future advancements in maternal healthcare robotics. There is existing evidence suggesting that the use of emotionally intelligent robot systems may help improve maternal mental state, minimize the negative effects of stress and anxiety, increase engagement in healthcare processes, and give individualized assistance during pregnancy. Machine learning (ML) techniques, natural language processing, affective computing, and physiological sensors play a major role in enhancing the emotional intelligence of robotic healthcare technologies. At the same time, there are some difficulties related to the authenticity of emotions, privacy issues, emotional dependence, biased algorithms, and other ethical concerns that restrict their application. Overall, robot-led pregnancy systems demonstrate great potential as maternal healthcare technology solutions.