HIYAM, A New Moroccan Humanoid Robot for Healthcare Applications Using IoT and Big Data Analytics

Advancements in Big Data, Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT) have led to the emergence of humanoid robots, set to become commonplace in various aspects of our lives. Through machine learning algorithms and AI, machines can now learn from experiences and respond contextually. This has created a demand for real-time decision-making and assistance systems in healthcare. The paper proposes a new system composed of three components: an assisting subsystem, a decision-making subsystem, and the actors (patients and doctors). One integral part of this architecture is the HIYAM robot, a humanoid robot under development in Morocco. HIYAM is designed to learn, assist patients in medical facilities and homes, and make decisions based on different situations. The robot possesses diverse features such as conversing with patients, walking, searching for medications and definitions, entertaining patients, providing care, and detecting faces and emotions. Developing HIYAM is a complex endeavor that involves enhancing both the assisting and decision-making subsystems. Overall, this paper highlights the progress in humanoid robot technology, particularly the HIYAM robot, and its potential to revolutionize healthcare by assisting patients and supporting decision-making processes.