Socially Intelligent Robots for Healthcare and Assistive Applications

Authors

  • Muhammad Talal Aslam Department of Computer Science, Emerson University Multan Author

Keywords:

socially intelligent robots, healthcare robotics, assistive technology, human-robot interaction, affective computing, adaptive learning, patient care

Abstract

SIRs are socially intelligent, which combines artificial intelligence, natural language processing, computer vision, and affective computing and allows them to engage with humans in a natural manner in a healthcare and assistive setting. These robots will be programmed to offer companionship, daily living, cognitive, and therapeutic interventions. The article discusses the evolution, uses and assessment of SIRs in healthcare context with references to patient-centered design, safety, and adaptable learning. The experimental research reveals better engagement of patients, efficiency of tasks and emotional comfort. The results emphasize the significance of social intelligence to better the interaction between the robots and humans and provide helpful health and supportive services.

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Published

2025-06-21