Design and Implementation of Interactive Human Companion Robot

The study presents a comprehensive framework for designing a human companion robot capable of fulfilling fundamental requirements across diverse age groups, with a specific focus on assessing companionship through interactions with elderly individuals. Integration of word, movement, and emotion synthesis facilitates the development of a robot face that balance expressive capabilities with mechanical simplicity. Leveraging  artificial  intelligence  (AI),  computer  vision,  and  natural  language  processing, these robots simulate human social behaviors and decision-making processes, continually advancing their self-learning capacities. The primary goal revolves around fostering natural human-robot interactions and delivering services to elderly citizens. This involves enhancing the robot's speech generation through word sourcing and coordinated physical movements. The investigation delves into foundational theories and critical considerations for crafting such a companion robot, utilizing Jetson Nano as a core element. Psychological theories underpin the robot's design to offer support and alleviate feelings of loneliness. Human-Robot Interaction (HRI) emerges as a promising technological avenue to enhance individuals' quality of life, fostering companionship, assistance, and emotional connections. The research thoroughly demonstrates the assembly of the robot, including circuit diagrams, programming, and methodology. The central component, Jetson Nano, forms the core of the Human Companion Robot (HCR), supported by auxiliary microcontrollers, ultrasonic sensors, and power supply boards. A survey was conducted to gauge public interest and requirements, revealing that increased  exposure  to  isolation  among  older  adults  does  not  necessarily  translate  to greater acceptance of AI companion robots aimed at addressing loneliness. Acknowledging concerns voiced by elderly individuals, the study underscores the significance of a human  companion  robot, primarily  for offering services such as education and therapy, elderly assistance, companionship, and entertainment. The adaptability and autonomous learning of these companion robots enable them to glean insights from interactions and environments. While recognizing potential detrimental  aspects of AI and robotics, it is evident that these robots possess the capability to provide tailored support and anticipate individual needs, potentially dominating future generations.

• Supervision